publications

2026

1. SIGCOMM

   Near-optimal Online Traffic Engineering

   Arvin Ghavidel, Pooria Namyar, Nikolai Matni, and 2 more authors

   In Proceedings of the ACM SIGCOMM 2026 Conference, 2026

   Abs Bib Link

   Most deployed WAN Traffic Engineering (TE) systems use a logically centralized controller that periodically gathers traffic demands, runs a TE optimization or heuristic, and then programs the network. At scale, these solutions are often suboptimal and can take minutes to react to demand changes or failures. In this paper, we introduce OnlineTE, a system that reacts immediately to demand changes and failures and delivers near-optimal solutions within seconds of a change. OnlineTE builds on the theory of optimization decomposition to devise scalable, near-optimal, distributed TE solvers for path-based MLU and Max-Flow problems. In OnlineTE, switches each solve a local subproblem, and a central coordinator coordinates their convergence. As such, a switch can trigger a re-optimization as soon as it detects a demand change or failure, enabling high reactivity. OnlineTE scales to large WANs, and its computational requirements are well within the capabilities of modern WAN switches. It also enables a novel paradigm, edge-based TE, which can utilize resources more efficiently than today’s path-based approaches. On a testbed emulation of a 750-node WAN topology, OnlineTE outperforms the state-of-the-art by up to an order of magnitude.

   @inproceedings{ghavidel2026,
     author = {Ghavidel, Arvin and Namyar, Pooria and Matni, Nikolai and Willinger, Walter and Govindan, Ramesh},
     title = {Near-optimal Online Traffic Engineering},
     booktitle = {Proceedings of the ACM SIGCOMM 2026 Conference},
     year = {2026},
     series = {SIGCOMM '26},
     pages = {1024–1045},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400724671},
     url = {https://doi.org/10.1145/3789240.3829123},
     doi = {10.1145/3789240.3829123},
     numpages = {22},
     keywords = {traffic engineering, wide-area networks, network optimization, distributed and parallel algorithms},
     location = {Colorado Convention Center, Denver, CO, USA},
     topics = {dcn,measure}
   }

2025

1. CoNEXT

   LiVo: Toward Bandwidth-adaptive Fully-Immersive Volumetric Video Conferencing

   Rajrup Ghosh, Christina Suyong Shin, Lei Zhang, and 8 more authors

   In , Nov 2025

   Abs Bib Link

   Volumetric video allows users 6 degrees of freedom (6-DoF) in viewing continuously evolving scenes in 3D. Given broadband speeds today, volumetric video conferencing will soon be feasible. Even so, these scenes will need to be compressed, and compression will need to adapt to variations in bandwidth availability. Existing 3D compression techniques cannot adapt to bandwidth availability, are slow, and utilize bandwidth inefficiently, so they don’t scale well to large scene descriptions. LiVo achieves low-latency and large-scene two-way conferencing by maximally leveraging existing 2D video infrastructure, including compression standards, rate-adaptive codecs, and real-time transport protocols. To achieve high quality, LiVo must carefully compose scenes from multiple cameras into multiple streams, encode scene geometry in a novel way, adapt to and apportion available bandwidth dynamically between streams to ensure high reconstruction quality, and cull content outside the receiver’s field of view to reduce information sent into the network. These novel contributions enable LiVo to outperform the state-of-the-art by over 20% in objective quality. In a user study, LiVo achieves a mean opinion score of 4.1, while other approaches achieve significantly lower values.

   @inproceedings{ghosh25,
     author = {Ghosh, Rajrup and Shin, Christina Suyong and Zhang, Lei and Ye, Muyang and Jin, Tao and Madhyastha, Harsha V. and Netravali, Ravi and Ortega, Antonio and Rao, Sanjay and Rowe, Anthony and Govindan, Ramesh},
     title = {{LiVo: Toward Bandwidth-adaptive Fully-Immersive Volumetric Video Conferencing}},
     journal = {Proc. ACM Netw.},
     year = {2025},
     volume = {3},
     number = {CoNEXT4},
     month = nov,
     issue_date = {December 2025},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3768981},
     doi = {10.1145/3768981},
     articleno = {34},
     numpages = {25},
     topics = {video},
     keywords = {bandwidth adaptation, conferencing, volumetric video}
   }

2. Multimedia

   SplatPose: On-Device Outdoor AR Pose Estimation Using Gaussian Splatting

   Weiwu Pang, Rajrup Ghosh, Jiawei Yang, and 4 more authors

   In Proceedings of the 33rd ACM International Conference on Multimedia, Nov 2025

   Abs Bib Link

   Outdoor AR applications on mobile devices need accurate estimates for the pose of the device. In this paper, we develop SplatPose, a novel pose estimation technique that uses a data-driven 3D modeling technique called Gaussian Splatting. SplatPose uses a trained Gaussian Splatting model to render an image at an estimated device location, then matches features with the camera image to estimate pose. % Because this matching can be fast, SplatPose can, in theory, estimate pose entirely on a mobile device, while existing approaches cannot. To this end, SplatPose trains Gaussian Splatting models to be robust to appearance changes, thereby improving accuracy. It also incorporates a novel fast renderer to improve rendering speed. Using an AR pose estimation benchmark dataset, we show that SplatPose outperforms the state-of-the-art in terms of accuracy, and is up to an order of magnitude faster on a mobile device.

   @inproceedings{pang2025,
     author = {Pang, Weiwu and Ghosh, Rajrup and Yang, Jiawei and Wei, Ziyu and Leong, Branden and Wang, Yue and Govindan, Ramesh},
     title = {SplatPose: On-Device Outdoor AR Pose Estimation Using Gaussian Splatting},
     booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
     year = {2025},
     series = {MM '25},
     pages = {11899–11908},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400720352},
     url = {https://doi.org/10.1145/3746027.3755709},
     doi = {10.1145/3746027.3755709},
     numpages = {10},
     keywords = {augmented reality, gaussian splatting, outdoor pose
                       estimation},
     topics = {mobile},
     location = {Dublin, Ireland}
   }

3. SIGCOMM

   ZENITH: Towards A Formally Verified Highly-Available Control Plane

   Pooria Namyar, Arvin Ghavidel, Mingyang Zhang, and 4 more authors

   In Proceedings of the ACM SIGCOMM 2025 Conference, Nov 2025

   Abs Bib Link

   Today, large-scale software-defined networks use microservice-based controllers. Bugs in these controllers can reduce network availability by making the data plane state inconsistent with the high-level intent. To recover from such inconsistencies, modern controllers periodically reconcile the state of all the switches with the desired intent. However, periodic reconciliation limits the availability and performance of the network at scale. We introduce Zenith, a microservice-based controller that avoids inconsistencies by design rather than always relying on recovery mechanisms. We have formally verified Zenith’s specifications and have proved that it ensures the network state will eventually be consistent with intent. We automatically generate Zenith’s code from its specification to minimize the likelihood of errors in the final implementation. Zenith’s guarantees and abstractions also enable developers to independently verify SDN applications and ensure end-to-end safety and correctness. Zenith resolves inconsistencies 5\texttimes faster than today’s designs and significantly improves availability.

   @inproceedings{namyar.p.ghavidel.a.ea:zenith,
     author = {Namyar, Pooria and Ghavidel, Arvin and Zhang, Mingyang and Madhyastha, Harsha V. and Ravi, Srivatsan and Wang, Chao and Govindan, Ramesh},
     title = {ZENITH: Towards A Formally Verified Highly-Available
     		  Control Plane},
     booktitle = {Proceedings of the ACM SIGCOMM 2025 Conference},
     year = {2025},
     series = {SIGCOMM '25},
     pages = {409–433},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400715242},
     url = {https://doi.org/10.1145/3718958.3750533},
     doi = {10.1145/3718958.3750533},
     numpages = {25},
     keywords = {software defined networking, formal methods,
     		  availability},
     topics = {dcn},
     location = {S\~{a}o Francisco Convent, Coimbra, Portugal}
   }

4. SIGCOMM

   Firefly: Scalable, Ultra-Accurate Clock Synchronization for Datacenters

   Pooria Namyar, Yuliang Li, Weitao Wang, and 10 more authors

   In Proceedings of the ACM SIGCOMM 2025 Conference, Nov 2025

   Abs Bib Link

   Cloud-based financial exchanges require sub-10ns device-to-device clock synchronization accuracy while adhering to Coordinated Universal Time (UTC). Existing clock sync techniques struggle to meet this demand at scale and are vulnerable to clock drift, jitter, and path asymmetries. Firefly, a software-driven datacenter clock sync system, scalably, cost-effectively, and reliably achieves very high clock sync accuracy. It employs a distributed consensus algorithm on a random overlay graph to rapidly converge to a common time while applying gradual adjustments to device hardware clocks. To realize consistent sync-to-UTC (external sync) across devices while maintaining a stable device-to-device internal sync, Firefly uses a novel technique, layered synchronization, that decouples internal and external syncs. In a 248-machine Clos network, Firefly achieves sub-10ns device-to-device and ≤1μs device-to-UTC sync, and is resilient to time server failure and unstable clocks.

   @inproceedings{namyar.p.li.y.ea:firefly,
     author = {Namyar, Pooria and Li, Yuliang and Wang, Weitao and Dukkipati, Nandita and Yap, Kk and Gong, Junzhi and Chen, Chen and Gao, Peixuan and Ray, Devdeep and Kumar, Gautam and Ma, Yidan and Govindan, Ramesh and Vahdat, Amin},
     title = {Firefly: Scalable, Ultra-Accurate Clock Synchronization
     		  for Datacenters},
     booktitle = {Proceedings of the ACM SIGCOMM 2025 Conference},
     year = {2025},
     series = {SIGCOMM '25},
     pages = {434–452},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400715242},
     url = {https://doi.org/10.1145/3718958.3750502},
     doi = {10.1145/3718958.3750502},
     numpages = {19},
     topics = {dcn},
     keywords = {clock synchronization, financial exchange, UTC
     		  synchronization, path asymmetry, distributed consensus},
     location = {S\~{a}o Francisco Convent, Coimbra, Portugal}
   }

5. TVT

   CATS: A Framework for Cooperative Autonomy Trust & Security

   Namo Asavisanu, Tina Khezresmaeilzadeh, Rohan Sequeira, and 4 more authors

   IEEE Transactions on Vehicular Technology, Nov 2025

   Bib

   @article{asavisanu.n.khezresmaeilzadeh.t.ea:cats,
     author = {Asavisanu, Namo and Khezresmaeilzadeh, Tina and Sequeira, Rohan and Qiu, Hang and Ahmad, Fawad and Psounis, Konstantinos and Govindan, Ramesh},
     journal = {IEEE Transactions on Vehicular Technology},
     title = {CATS: A Framework for Cooperative Autonomy Trust &
     		  Security},
     year = {2025},
     volume = {},
     number = {},
     pages = {1-16},
     topics = {vehicular},
     keywords = {Vehicle-to-everything;Tides;Privacy;Phantoms;Electronic
     		  mail;Denial-of-service attack;Delays;Training;Time
     		  factors;Scalability},
     doi = {10.1109/TVT.2025.3546194}
   }

6. Sigmetrics

   Tiered Cloud Routing: Methodology, Latency, and Improvement

   Shihan Lin, Yi Zhou, Xiao Zhang, and 3 more authors

   Proc. ACM Meas. Anal. Comput. Syst., Mar 2025

   Abs Bib Link

   Large cloud providers including AWS, Azure, and Google Cloud offer two tiers of network services to their customers: one class uses the providers’ private wide area networks (WAN-transit) to carry a customer’s traffic as much as possible, and the other uses the public internet (inet-transit). Little is known about how each cloud provider configures its network to offer different transit services, how well these services work, and whether the quality of those services can be further improved. In this work, we conduct a large-scale study to answer these questions. Using RIPE Atlas probes as vantage points, we explore how traffic enters and leaves each cloud’s WAN. In addition, we measure the access latency of the WAN-transit and the inet-transit service of each cloud and compare it with that of an emulated performance-based routing strategy. Our study shows that despite the cloud providers’ intention to carry customers’ traffic on its WAN to the maximum extent possible, for about 12% (Azure) and 13% (Google) of our vantage points, traffic exits the cloud WAN early at cloud edges more than 5000km away from the vantage points’ nearest cloud edges. In contrast, more than 84% (AWS), 78% (Azure), and 81% (Google) of vantage points enter a cloud WAN within a 500km radius of their respective locations. Moreover, we find that cloud providers employ different routing strategies to implement the inet-transit service, leading to transit policies that may deviate from their advertised service descriptions. Finally, we find that a performance-based routing strategy can significantly reduce latencies in all three cloud providers for 4% to 85% of vantage point and cloud region pairs.

   @article{lin.s.zhou.y.ea:tiered,
     author = {Lin, Shihan and Zhou, Yi and Zhang, Xiao and Arnold, Todd and Govindan, Ramesh and Yang, Xiaowei},
     title = {Tiered Cloud Routing: Methodology, Latency, and
     		  Improvement},
     journal = {Proc. ACM Meas. Anal. Comput. Syst.},
     year = {2025},
     volume = {9},
     number = {1},
     month = mar,
     issue_date = {March 2025},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3711705},
     doi = {10.1145/3711705},
     articleno = {12},
     numpages = {41},
     topics = {dcn,measure},
     keywords = {bgp, cloud routing, internet routing, wide area network}
   }

7. NSDI

   Preventing Network Bottlenecks: Accelerating Datacenter Services with Hotspot-Aware Placement for Compute and Storage

   Hamid Bazzaz, Weiwu Pang, Yingjie Bi, and 10 more authors

   In 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25), Mar 2025

   Bib

   @inproceedings{bazzaz.h.pang.w.ea:preventing,
     author = {Bazzaz, Hamid and Pang, Weiwu and Bi, Yingjie and Yu, Minlan and Govindan, Ramesh and Cardwell, Neal and Dukkipati, Nandita and Tsai, Meng-Jung and DeForeest, Chris and Jin, Yuxue Jin and Carver, Charles and Kopański, Jan and Cheng, Liqun},
     title = {Preventing Network Bottlenecks: Accelerating Datacenter
     		  Services with Hotspot-Aware Placement for Compute and
     		  Storage},
     booktitle = {22nd USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 25)},
     year = {2025},
     topics = {dcn}
   }

8. HotOS

   Granular Resource Demand Heterogeneity

   Yizhuo Liang, Ramesh Govindan, and Seo Jin Park

   In Proceedings of the 20th Workshop on Hot Topics in Operating Systems, Mar 2025

   Bib

   @inproceedings{liang.y.govindan.r.ea:granular,
     title = {Granular Resource Demand Heterogeneity},
     author = {Liang, Yizhuo and Govindan, Ramesh and Park, Seo Jin},
     booktitle = {Proceedings of the 20th Workshop on Hot Topics in
     		  Operating Systems},
     year = {2025},
     topics = {dcn}
   }

9. NSDI

   Enhancing Network Failure Mitigation with Performance-Aware Ranking

   Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, and 5 more authors

   In 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25), Mar 2025

   Bib

   @inproceedings{namyar.p.ghavidel.a.ea:enhancing,
     author = {Namyar, Pooria and Ghavidel, Arvin and Crankshaw, Daniel and Berger, Daniel S and Hsieh, Kevin and Kandula, Srikanth and Govindan, Ramesh and Arzani, Behnaz},
     title = {Enhancing Network Failure Mitigation with
     		  Performance-Aware Ranking},
     booktitle = {22nd USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 25)},
     year = {2025},
     topics = {dcn}
   }

2024

1. IoTDI

   Cooperative Infrastructure Perception

   Fawad Ahmad, Christina Suyong Shin, Weiwu Pang, and 3 more authors

   In 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI), Mar 2024

   Bib

   @inproceedings{ahmad.f.shin.cs.ea:cooperative,
     author = {Ahmad, Fawad and Shin, Christina Suyong and Pang, Weiwu and Leong, Branden and Ghosh, Pradipta and Govindan, Ramesh},
     title = {Cooperative Infrastructure Perception},
     booktitle = {2024 IEEE/ACM Ninth International Conference on
     		  Internet-of-Things Design and Implementation (IoTDI)},
     year = {2024},
     pages = {61-72},
     keywords = {Visualization;Accuracy;Three-dimensional displays;Mixed
     		  reality;Line-of-sight
     		  propagation;Throughput;Sensors;Cooperative
     		  Perception;Infrastructure-assisted Perception;Autonomous
     		  Vehicle Systems},
     topics = {vehicular},
     doi = {10.1109/IoTDI61053.2024.00010}
   }

2. HotCarbon

   Lovelock: Towards Smart NIC-hosted Clusters

   Seo Jin Park, Ramesh Govindan, Kai Shen, and 4 more authors

   In In Proc. HotCarbon Workshop on Sustainable Computer Systems, Jul 2024

   Bib

   @inproceedings{park.sj.govindan.r.ea:lovelock--towards-smart-nic-hosted-clusters,
     author = {Park, Seo Jin and Govindan, Ramesh and Shen, Kai and Culler, David and Fatma, Ozcan and Kim, Geon-Woo and Levy, Hank},
     title = {{Lovelock: Towards Smart NIC-hosted Clusters}},
     booktitle = {In Proc. HotCarbon Workshop on Sustainable Computer
     		  Systems},
     year = {2024},
     topics = {dcn},
     month = jul
   }

3. HotNets

   End-to-End Performance Analysis of Learning-enabled Systems

   Pooria Namyar, Michael Schapira, Ramesh Govindan, and 4 more authors

   In Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, Jul 2024

   Abs Bib Link

   We propose a performance analysis tool for learning-enabled systems that allows operators to uncover potential performance issues before deploying DNNs in their systems. The tools that exist for this purpose require operators to faithfully model all components (a white-box approach) or do inefficient black-box local search. We propose a gray-box alternative, which eliminates the need to precisely model all the system’s components. Our approach is faster and finds substantially worse scenarios compared to prior work. We show that a state-of-the-art learning-enabled traffic engineering pipeline can underperform the optimal by 6\texttimes — a much higher number compared to what the authors found.

   @inproceedings{namyar.p.schapira.m.ea:end-to-end,
     author = {Namyar, Pooria and Schapira, Michael and Govindan, Ramesh and Segarra, Santiago and Beckett, Ryan and Kakarla, Siva Kesava Reddy and Arzani, Behnaz},
     title = {End-to-End Performance Analysis of Learning-enabled
     		  Systems},
     booktitle = {Proceedings of the 23rd ACM Workshop on Hot Topics in
     		  Networks},
     year = {2024},
     series = {HOTNETS '24},
     pages = {86–94},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400712722},
     url = {https://doi.org/10.1145/3696348.3696875},
     doi = {10.1145/3696348.3696875},
     numpages = {9},
     keywords = {Machine Learning for Systems, Performance Analysis},
     location = {Irvine, CA, USA},
     topics = {dcn}
   }

4. NSDI

   Solving Max-Min Fair Resource Allocations Quickly on Large Graphs

   Pooria Namyar, Behnaz Arzani, Srikanth Kandula, and 5 more authors

   In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), Jul 2024

   Abs Bib Link

   We consider the max-min fair resource allocation problem. The best-known solutions use either a sequence of optimizations or waterfilling, which only applies to a narrow set of cases. These solutions have become a practical bottleneck in WAN traffic engineering and cluster scheduling, especially at larger problem sizes. We improve both approaches: (1) we show how to convert the optimization sequence into a single fast optimization, and (2) we generalize waterfilling to the multi-path case. We empirically show our new algorithms Pareto-dominate prior techniques: they produce faster, fairer, and more efficient allocations. Some of our allocators also have theoretical guarantees: they trade off a bounded amount of unfairness for faster allocation. We have deployed our allocators in Azure’s WAN traffic engineering pipeline, where we preserve solution quality and achieve a roughly 3× speedup.

   @inproceedings{namyar.p.arzani.b.ea:solving,
     author = {Namyar, Pooria and Arzani, Behnaz and Kandula, Srikanth and Segarra, Santiago and Crankshaw, Daniel and Krishnaswamy, Umesh and Govindan, Ramesh and Raj, Himanshu},
     title = {{S}olving {M}ax-{M}in {F}air {R}esource {A}llocations
     		  {Q}uickly on {L}arge {G}raphs},
     booktitle = {21st USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 24)},
     year = {2024},
     topics = {dcn},
   }

5. NSDI

   Finding Adversarial Inputs for Heuristics using Multi-level Optimization

   Pooria Namyar, Behnaz Arzani, Ryan Beckett, and 5 more authors

   In 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), Jul 2024

   Abs Bib Link

   Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heuristic and the optimum or between two heuristics in realistic scenarios. We present MetaOpt, a system that helps analyze heuristics. Users specify the heuristic and the optimal (or another heuristic) as input, and MetaOpt automatically encodes these efficiently for a solver to find performance gaps and their corresponding adversarial inputs. Its suite of built-in optimizations helps it scale its analysis to practical problem sizes. To show it is versatile, we used MetaOpt to analyze heuristics from three domains (traffic engineering, vector bin packing, and packet scheduling). We found a production traffic engineering heuristic can require 30% more capacity than the optimal to satisfy realistic demands. Based on the patterns in the adversarial inputs MetaOpt produced, we modified the heuristic to reduce its performance gap by 12.5×. We examined adversarial inputs to a vector bin packing heuristic and proved a new lower bound on its performance.

   @inproceedings{namyar.p.arzani.b.ea:finding,
     author = {Namyar, Pooria and Arzani, Behnaz and Beckett, Ryan and Segarra, Santiago and Raj, Himanshu and Krishnaswamy, Umesh and Govindan, Ramesh and Kandula, Srikanth},
     title = {{F}inding {A}dversarial {I}nputs for {H}euristics using
     		  {M}ulti-level {O}ptimization},
     booktitle = {21st USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 24)},
     year = {2024},
     topics = {dcn},
   }

6. MobiCom

   RECAP: 3D Traffic Reconstruction

   Christina Shin, Weiwu Pang, Chuan Li, and 4 more authors

   In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (MobiCom 24), Jul 2024

   Abs Bib

   On-vehicle 3D sensing technologies, such as LiDARs and stereo cameras, enable a novel capability, 3D traffic reconstruction. This produces a volumetric video consisting of a sequence of 3D frames capturing the time evolution of road traffic. 3D traffic reconstruction can help trained investigators reconstruct the scene of an accident. In this paper, we describe the design and implementation of RECAP, a system that continuously and opportunistically produces 3D traffic reconstructions from multiple vehicles. RECAP builds upon prior work on point cloud registration, but adapts it to settings with minimal point cloud overlap (both in the spatial and temporal sense) and develops techniques to minimize error and computation time in multi-way registration. On-road experiments and trace-driven simulations show that RECAP can, within minutes, generate highly accurate reconstructions that have 2× or more lower errors than competing approaches.

   @inproceedings{shin.c.pang.w.ea:recap,
     author = {Shin, Christina and Pang, Weiwu and Li, Chuan and Bai, Fan and Ahmad, Fawad and Paek, Jeongyeup and Govindan, Ramesh},
     title = {RECAP: 3D Traffic Reconstruction},
     booktitle = {Proceedings of the 30th Annual International Conference on
     		  Mobile Computing and Networking (MobiCom 24)},
     year = {2024},
     topics = {vehicular}
   }

2023

1. Ubicomp/IMWUT

   AeroTraj: Trajectory Planning for Fast, and Accurate 3D Reconstruction Using a Drone-Based LiDAR

   Fawad Ahmad, Christina Suyong Shin, Rajrup Ghosh, and 4 more authors

   Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Sep 2023

   Abs Bib Link

   This paper presents AeroTraj, a system that enables fast, accurate, and automated reconstruction of 3D models of large buildings using a drone-mounted LiDAR. LiDAR point clouds can be used directly to assemble 3D models if their positions are accurately determined. AeroTraj uses SLAM for this, but must ensure complete and accurate reconstruction while minimizing drone battery usage. Doing this requires balancing competing constraints: drone speed, height, and orientation. AeroTraj exploits building geometry in designing an optimal trajectory that incorporates these constraints. Even with an optimal trajectory, SLAM’s position error can drift over time, so AeroTraj tracks drift in-flight by offloading computations to the cloud and invokes a re-calibration procedure to minimize error. AeroTraj can reconstruct large structures with centimeter-level accuracy and with an average end-to-end latency below 250 ms, significantly outperforming the state of the art.

   @article{ahmad.f.shin.cs.ea:aerotraj,
     author = {Ahmad, Fawad and Shin, Christina Suyong and Ghosh, Rajrup and D'Ambrosio, John and Chai, Eugene and Sundaresan, Karthikeyan and Govindan, Ramesh},
     title = {AeroTraj: Trajectory Planning for Fast, and Accurate 3D
     		  Reconstruction Using a Drone-Based LiDAR},
     year = {2023},
     issue_date = {September 2023},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {7},
     number = {3},
     url = {https://doi.org/10.1145/3610911},
     doi = {10.1145/3610911},
     journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
     month = sep,
     articleno = {83},
     numpages = {28},
     keywords = {Mapping, Trajectory Planning, 3D Reconstruction,
     		  Localization},
     topics = {sensing}
   }

2. ToN

   Optimal Oblivious Routing With Concave Objectives for Structured Networks

   K. Chitavisutthivong, S. Supittayapornpong, P. Namyar, and 3 more authors

   IEEE/ACM Transactions on Networking, Apr 2023

   Bib

   @article{chitavisutthivong.k.supittayapornpong.s.ea:optimal,
     author = {Chitavisutthivong, K. and Supittayapornpong, S. and Namyar, P. and Zhang, M. and Yu, M. and Govindan, R.},
     journal = {IEEE/ACM Transactions on Networking},
     title = {Optimal Oblivious Routing With Concave Objectives for
     		  Structured Networks},
     year = {2023},
     volume = {},
     number = {01},
     issn = {1558-2566},
     pages = {1-13},
     keywords = {routing;topology;network
     		  topology;servers;throughput;optimization;ieee
     		  transactions},
     doi = {10.1109/TNET.2023.3264632},
     publisher = {IEEE Computer Society},
     address = {Los Alamitos, CA, USA},
     month = apr,
     topics = {dcn}
   }

3. Sigcomm

   Dragonfly: Higher Perceptual Quality For Continuous 360° Video Playback

   Ehab Ghabashneh, Chandan Bothra, Ramesh Govindan, and 2 more authors

   In Proceedings of the ACM SIGCOMM 2023 Conference, Apr 2023

   Abs Bib Link

   When streaming 360° video, it is possible to reduce bandwidth by 5\texttimes with approaches that spatially segment video into tiles and only stream the user’s viewport. Unfortunately, it is difficult to accurately predict a user’s viewport even 2–3 seconds before playback. This results in rebuffering events owing to misprediction of a user’s viewport or network bandwidth dips, which hurts interactive experience. However, avoiding rebuffering by naively skipping tiles that do not arrive by the playback deadline may lead to incomplete viewports and degraded experience.In this paper, we describe Dragonfly, a new 360° system that preserves interactive experience by avoiding playback stalls while maintaining high perceptual quality. Dragonfly prudently skips tiles using a model that defines an overall utility function to decide which tiles to fetch, and at which qualities they should be fetched, with the goal of optimizing user experience. To minimize incomplete viewports, it also fetches a low quality masking stream. Using a user study with 26 users and emulation-based experiments we show that Dragonfly has higher quality, and lower overheads, than state-of-the-art 360° streaming approaches. For instance, in our study, 65% of sessions have a rating of 4 or higher (Good/Excellent) with Dragonfly, while only 16% of sessions with Pano, and 13% of sessions with Flare achieve this rating.

   @inproceedings{ghabashneh.e.bothra.c.ea:dragonfly,
     author = {Ghabashneh, Ehab and Bothra, Chandan and Govindan, Ramesh and Ortega, Antonio and Rao, Sanjay},
     title = {Dragonfly: Higher Perceptual Quality For Continuous 360°
     		  Video Playback},
     booktitle = {Proceedings of the ACM SIGCOMM 2023 Conference},
     year = {2023},
     series = {ACM SIGCOMM '23},
     pages = {516–532},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9798400702365},
     url = {https://doi.org/10.1145/3603269.3604876},
     doi = {10.1145/3603269.3604876},
     numpages = {17},
     keywords = {360° videos, video streaming, adaptive bit-rate (ABR)
     		  algorithms},
     location = {New York, NY, USA},
     topics = {video}
   }

4. TVT

   NORA: Towards Large-Scale Vehicular Analytics for Driving Environment Monitoring/Assessment

   Donald K. Grimm, Fan Bai, Jinzhu Chen, and 3 more authors

   IEEE Open Journal of Vehicular Technology, Apr 2023

   Bib

   @article{grimm.dk.bai.f.ea:nora,
     author = {Grimm, Donald K. and Bai, Fan and Chen, Jinzhu and Yu, Bo and Saraydar, Cem and Govindan, Ramesh},
     journal = {IEEE Open Journal of Vehicular Technology},
     title = {NORA: Towards Large-Scale Vehicular Analytics for Driving
     		  Environment Monitoring/Assessment},
     year = {2023},
     volume = {4},
     number = {},
     pages = {618-632},
     doi = {10.1109/OJVT.2023.3296021},
     topics = {vehicular}
   }

5. ICLR

   MCAL: Minimum Cost Human-Machine Active Labeling

   Hang Qiu, Krishna Chintalapudi, and Ramesh Govindan

   In The Eleventh International Conference on Learning Representations , Apr 2023

   Bib Link

   @inproceedings{qiu.h.chintalapudi.k.ea:mcal,
     title = {{MCAL}: Minimum Cost Human-Machine Active Labeling},
     author = {Qiu, Hang and Chintalapudi, Krishna and Govindan, Ramesh},
     booktitle = {The Eleventh International Conference on Learning
     		  Representations },
     year = {2023},
     url = {https://openreview.net/forum?id=1FxRPKrH8bw},
     topics = {sensing},
   }

6. MobiCom

   UbiPose: Towards Ubiquitous Outdoor AR Pose Tracking Using Aerial Meshes

   Weiwu Pang, Chunyu Xia, Branden Leong, and 3 more authors

   In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, Apr 2023

   Bib Link

   @inproceedings{pang.w.xia.c.ea:ubipose,
     author = {Pang, Weiwu and Xia, Chunyu and Leong, Branden and Ahmad, Fawad and Paek, Jeongyeup and Govindan, Ramesh},
     title = {UbiPose: Towards Ubiquitous Outdoor AR Pose Tracking Using
     		  Aerial Meshes},
     booktitle = {Proceedings of the 29th Annual International Conference on
     		  Mobile Computing and Networking},
     year = {2023},
     series = {ACM MobiCom '23},
     address = {New York, NY, USA},
     publisher = {Association for Computing Machinery},
     isbn = {9781450399906},
     url = {https://doi.org/10.1145/3570361.3613263},
     doi = {10.1145/3570361.3613263},
     articleno = {49},
     numpages = {16},
     keywords = {augmented reality, outdoor pose estimation, aerial mesh},
     location = {Madrid, Spain},
     topics = {sensing},
   }

2022

1. ToSN

   Sensing the Sensor: Estimating Camera Properties with Minimal Information

   Pradipta Ghosh, Xiaochen Liu, Hang Qiu, and 3 more authors

   ACM Trans. Sen. Netw., Feb 2022

   Abs Bib Link

   Public outdoor surveillance cameras often have limited metadata describing their properties. Frequently, a public camera’s precise position, orientation, focal length, and image center are unknown; these attributes are necessary to precisely pinpoint the location of events seen in the camera. In this article, we ask: what is the minimal information needed to accurately estimate these properties for public cameras? We show, using a judicious combination of projective geometry, neural networks, and crowd-sourced annotations from human workers, that it is possible to, for example, localize 95% of the cameras in our test data set to within 12 m using a single image taken from the camera. This performance is an order of magnitude better than PoseNet, a state-of-the-art neural network that needs significantly more information than our approach, and can only estimate position and orientation (and not other properties). Finally, we show that the camera’s inferred pose and properties can help design a number of virtual sensors, all of which have good accuracy.

   @article{ghosh.p.liu.x.ea:sensing,
     author = {Ghosh, Pradipta and Liu, Xiaochen and Qiu, Hang and Vieira, Marcos A. M. and Sukhatme, Gaurav S. and Govindan, Ramesh},
     title = {Sensing the Sensor: Estimating Camera Properties with
     		  Minimal Information},
     year = {2022},
     issue_date = {May 2022},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {18},
     number = {2},
     issn = {1550-4859},
     url = {https://doi.org/10.1145/3508393},
     doi = {10.1145/3508393},
     journal = {ACM Trans. Sen. Netw.},
     month = feb,
     articleno = {28},
     numpages = {26},
     topics = {sensing},
     keywords = {mechanical turk, Localization, neural network, camera,
     		  vanishing point}
   }

2. NSDI

   CloudCluster: Unearthing the Functional Structure of a Cloud Service

   Weiwu Pang, Sourav Panda, Jehangir Amjad, and 2 more authors

   In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22), Feb 2022

   Bib Link

   @inproceedings{pang.w.panda.s.ea:cloudcluster,
     author = {Pang, Weiwu and Panda, Sourav and Amjad, Jehangir and Diot, Christophe and Govindan, Ramesh},
     title = {{CloudCluster}: Unearthing the Functional Structure of a
     		  Cloud Service},
     booktitle = {19th USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 22)},
     year = {2022},
     isbn = {978-1-939133-27-4},
     address = {Renton, WA},
     pages = {1213--1230},
     url = {https://www.usenix.org/conference/nsdi22/presentation/pang},
     publisher = {USENIX Association},
     topics = {dcn}
   }

3. MobiSys

   AutoCast: Scalable Infrastructure-Less Cooperative Perception for Distributed Collaborative Driving

   Hang Qiu, Po-Han Huang, Namo Asavisanu, and 3 more authors

   In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, Feb 2022

   Abs Bib Link

   Autonomous vehicles use 3D sensors for perception. Cooperative perception enables vehicles to share sensor readings with each other to improve safety. Prior work in cooperative perception scales poorly even with infrastructure support. AUTOCAST1 enables scalable infrastructure-less cooperative perception using direct vehicle-to-vehicle communication. It carefully determines which objects to share based on positional relationships between traffic participants, and the time evolution of their trajectories. It coordinates vehicles and optimally schedules transmissions in a distributed fashion. Extensive evaluation results under different scenarios show that, unlike competing approaches, AUTOCAST can avoid crashes and near-misses which occur frequently without cooperative perception, its performance scales gracefully in dense traffic scenarios providing 2-4x visibility into safety critical objects compared to existing cooperative perception schemes, its transmission schedules can be completed on the real radio testbed, and its scheduling algorithm is near-optimal with negligible computation overhead.

   @inproceedings{qiu.h.huang.p.ea:autocast,
     author = {Qiu, Hang and Huang, Po-Han and Asavisanu, Namo and Liu, Xiaochen and Psounis, Konstantinos and Govindan, Ramesh},
     title = {AutoCast: Scalable Infrastructure-Less Cooperative
     		  Perception for Distributed Collaborative Driving},
     year = {2022},
     isbn = {9781450391856},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3498361.3538925},
     doi = {10.1145/3498361.3538925},
     booktitle = {Proceedings of the 20th Annual International Conference on
     		  Mobile Systems, Applications and Services},
     pages = {128–141},
     numpages = {14},
     keywords = {cooperative perception, V2V communication, autonomous
     		  cars},
     location = {Portland, Oregon},
     topics = {vehicular},
     series = {MobiSys '22}
   }

4. SoCC

   Quadrant: A Cloud-Deployable NF Virtualization Platform

   Jianfeng Wang, Tamás Lévai, Zhuojin Li, and 3 more authors

   In SoCC ’22: Proceedings of the ACM Symposium on Cloud Computing, Feb 2022

   Abs Bib Link Slides

   Network Functions (NFs) now touch a significant fraction of Internet traffic. The hope has been that software-based NF Virtualization (NFV) would enable rapid development of new NFs by vendors and leverage the power and economics of commodity computing infrastructure for NF deployment. To date, no cloud NFV systems achieve NF chaining, isolation, SLO-adherence, and scaling together with existing cloud computing infrastructure and abstractions, all while achieving generality, speed, and ease of deployment; these properties are taken for granted in other cloud contexts but unavailable for NF processing. We present Quadrant, an efficient and secure cloud-deployable NFV system, and show that Quadrant’s approach of adapting existing cloud infrastructure to support packet processing can achieve NF chaining, isolation, generality, and performance in NFV. Quadrant reuses common cloud infrastructure such as Kubernetes, cloud functions, the Linux kernel, NIC hardware, and switches. It enables easy NFV deployment while delivering up to double the performance per core compared to the state of the art.

   @inproceedings{wang.j.lévai.t.ea:quadrant,
     title = {Quadrant: A Cloud-Deployable NF Virtualization Platform},
     author = {Wang, Jianfeng and Lévai, Tamás and Li, Zhuojin and Vieira, Marcos A. M. and Govindan, Ramesh and Raghavan, Barath},
     url = {https://dl.acm.org/doi/10.1145/3542929.3563471},
     talk = {https://youtu.be/70_bUua5870},
     year = {2022},
     date = {2022-11-07},
     booktitle = {SoCC '22: Proceedings of the ACM Symposium on Cloud
     		  Computing},
     keywords = {NFV, cloud computing, SLO},
     pubstate = {to appear},
     tppubtype = {inproceedings},
     topics = {dcn}
   }

5. Infocom

   Optimal Oblivious Routing for Structured Networks

   Sucha Supittayapornpong, Pooria Namyar, Mingyang Zhang, and 2 more authors

   In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, Feb 2022

   Bib Link

   @inproceedings{supittayapornpong.s.namyar.p.ea:optimal,
     author = {Supittayapornpong, Sucha and Namyar, Pooria and Zhang, Mingyang and Yu, Minlan and Govindan, Ramesh},
     booktitle = {IEEE INFOCOM 2022 - IEEE Conference on Computer
     		  Communications},
     title = {Optimal Oblivious Routing for Structured Networks},
     year = {2022},
     pages = {1988-1997},
     doi = {10.1109/INFOCOM48880.2022.9796682},
     topics = {dcn}
   }

2021

1. ArXiv

   ARES: Accurate, Autonomous, Near Real-time 3D Reconstruction using Drones

   Fawad Ahmad, Christina Shin, Eugene Chai, and 2 more authors

   CoRR, Feb 2021

   Bib Link

   @article{ahmad.f.shin.c.ea:ares-,
     author = {Ahmad, Fawad and Shin, Christina and Chai, Eugene and Sundaresan, Karthik and Govindan, Ramesh},
     title = {{ARES:} Accurate, Autonomous, Near Real-time 3D
     		  Reconstruction using Drones},
     journal = {CoRR},
     volume = {abs/2104.08634},
     year = {2021},
     eprinttype = {arXiv},
     eprint = {2104.08634},
     timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
     biburl = {https://dblp.org/rec/journals/corr/abs-2104-08634.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     topics = {sensing}
   }

2. TMC

   Synthesis of Large-Scale Instant IoT Networks

   Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, and 6 more authors

   IEEE Transactions on Mobile Computing, Feb 2021

   Abs Bib

   While most networks have long lifetimes, temporary network infrastructure is often useful for special events, pop-up retail, or disaster response. An instant IoT network is one that is rapidly constructed, used for a few days, then dismantled. We consider the synthesis of instant IoT networks in urban settings. This synthesis problem must satisfy complex and competing constraints: sensor coverage, line-of-sight visibility, and network connectivity. The central challenge in our synthesis problem is quickly scaling to large regions while producing cost-effective solutions. We explore two qualitatively different representations of the synthesis problems using satisfiability modulo convex optimization (SMC), and mixed-integer linear programming (MILP). The former is more expressive, for our problem, than the latter, but is less well-suited for solving optimization problems like ours. We show how to express our network synthesis in these frameworks. To scale to problem sizes beyond what these frameworks are capable of, we develop a hierarchical synthesis technique that independently synthesizes networks in sub-regions of the deployment area, then combines these. We find that, while MILP outperforms SMC in some settings for smaller problem sizes, the fact that SMC’s expressivity matches our problem ensures that it uniformly generates better quality solutions at larger problem sizes.

   @article{ghosh.p.bunton.j.ea:synthesis,
     title = {Synthesis of Large-Scale Instant IoT Networks},
     author = {Ghosh, Pradipta and Bunton, Jonathan and Pylorof, Dimitrios and Vieira, Marcos A. M. and Chan, Kevin and Govindan, Ramesh and Sukhatme, Gaurav S. and Tabuada, Paulo and Verma, Gunjan},
     doi = {10.1109/TMC.2021.3099005},
     year = {2021},
     date = {2021-09-01},
     journal = {IEEE Transactions on Mobile Computing},
     pubstate = {published},
     topics = {sensing},
     tppubtype = {article}
   }

3. IoTDI

   Rim: Offloading Inference to the Edge

   Yitao Hu, Weiwu Pang, Xiaochen Liu, and 4 more authors

   In Proceedings of the 6th ACM/IEEE Conference on Internet of Things Design and Implementation, 2021, Feb 2021

   Bib Link

   @inproceedings{hu.y.pang.w.ea:rim,
     title = {Rim: Offloading Inference to the Edge},
     author = {Hu, Yitao and Pang, Weiwu and Liu, Xiaochen and Ghosh, Rajrup and Ko, Bongjun and Lee, Wei-Han and Govindan, Ramesh},
     url = {https://dl.acm.org/doi/abs/10.1145/3450268.3453521},
     year = {2021},
     date = {2021-05-18},
     booktitle = {Proceedings of the 6th ACM/IEEE Conference on Internet of
     		  Things Design and Implementation, 2021},
     pubstate = {published},
     topics = {sensing,mobile},
     tppubtype = {inproceedings}
   }

4. SoCC

   Scrooge: A Cost-Effective Deep Learning Inference System

   Yitao Hu, Rajrup Ghosh, and Ramesh Govindan

   In SoCC ’21: ACM Symposium on Cloud Computing, Seattle, WA, USA, November 1 - 4, 2021, Feb 2021

   Bib Link

   @inproceedings{hu.y.ghosh.r.ea:scrooge,
     author = {Hu, Yitao and Ghosh, Rajrup and Govindan, Ramesh},
     editor = {Curino, Carlo and Koutrika, Georgia and Netravali, Ravi},
     title = {Scrooge: {A} Cost-Effective Deep Learning Inference
     		  System},
     booktitle = {SoCC '21: {ACM} Symposium on Cloud Computing, Seattle, WA,
     		  USA, November 1 - 4, 2021},
     pages = {624--638},
     publisher = {{ACM}},
     year = {2021},
     url = {https://doi.org/10.1145/3472883.3486993},
     doi = {10.1145/3472883.3486993},
     timestamp = {Sun, 31 Oct 2021 10:05:01 +0100},
     topics = {sensing,mobile},
     biburl = {https://dblp.org/rec/conf/cloud/HuGG21.bib}
   }

5. SIGCOMM

   A throughput-centric view of the performance of datacenter topologies

   Pooria Namyar, Sucha Supittayapornpong, Mingyang Zhang, and 2 more authors

   In ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021, Feb 2021

   Bib Link

   @inproceedings{namyar.p.supittayapornpong.s.ea:throughput-centric,
     author = {Namyar, Pooria and Supittayapornpong, Sucha and Zhang, Mingyang and Yu, Minlan and Govindan, Ramesh},
     editor = {Kuipers, Fernando A. and Caesar, Matthew C.},
     title = {A throughput-centric view of the performance of datacenter
     		  topologies},
     booktitle = {{ACM} {SIGCOMM} 2021 Conference, Virtual Event, USA,
     		  August 23-27, 2021},
     pages = {349--369},
     publisher = {{ACM}},
     year = {2021},
     url = {https://doi.org/10.1145/3452296.3472913},
     doi = {10.1145/3452296.3472913},
     timestamp = {Wed, 11 Aug 2021 15:56:33 +0200},
     topics = {dcn},
     biburl = {https://dblp.org/rec/conf/sigcomm/NamyarS0YG21.bib}
   }

6. ANRW

   Tools for disambiguating RFCs

   Jane Yen, Ramesh Govindan, and Barath Raghavan

   In ANRW ’21: Applied Networking Research Workshop, Virtual Event, USA, July 24-30, 2021, Feb 2021

   Bib Link

   @inproceedings{yen.j.govindan.r.ea:tools-for-disambiguating-rfcs,
     author = {Yen, Jane and Govindan, Ramesh and Raghavan, Barath},
     title = {{Tools for disambiguating RFCs}},
     booktitle = {{ANRW} '21: Applied Networking Research Workshop, Virtual
     		  Event, USA, July 24-30, 2021},
     pages = {85--91},
     publisher = {{ACM}},
     year = {2021},
     url = {https://doi.org/10.1145/3472305.3472314},
     doi = {10.1145/3472305.3472314},
     timestamp = {Wed, 28 Jul 2021 11:43:15 +0200},
     topics = {measure},
     biburl = {https://dblp.org/rec/conf/anrw/YenGR21.bib}
   }

7. SIGCOMM

   Semi-automated protocol disambiguation and code generation

   Jane Yen, Tamás Lévai, Qinyuan Ye, and 3 more authors

   In ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021, Feb 2021

   Bib Link

   @inproceedings{yen.j.levai.t.ea:semi-automated,
     author = {Yen, Jane and L{\'{e}}vai, Tam{\'{a}}s and Ye, Qinyuan and Ren, Xiang and Govindan, Ramesh and Raghavan, Barath},
     editor = {Kuipers, Fernando A. and Caesar, Matthew C.},
     		  generation},
     booktitle = {{ACM} {SIGCOMM} 2021 Conference, Virtual Event, USA,
     		  August 23-27, 2021},
     pages = {272--286},
     publisher = {{ACM}},
     year = {2021},
     url = {https://doi.org/10.1145/3452296.3472910},
     doi = {10.1145/3452296.3472910},
     timestamp = {Wed, 11 Aug 2021 15:56:33 +0200},
     topics = {measure},
     biburl = {https://dblp.org/rec/conf/sigcomm/YenLY0GR21.bib}
   }

8. ArXiv

   Gemini: Practical Reconfigurable Datacenter Networks with Topology and Traffic Engineering

   Mingyang Zhang, Jianan Zhang, Rui Wang, and 3 more authors

   CoRR, Feb 2021

   Bib Link

   @article{zhang.m.zhang.j.ea:gemini,
     author = {Zhang, Mingyang and Zhang, Jianan and Wang, Rui and Govindan, Ramesh and Mogul, Jeffrey C. and Vahdat, Amin},
     title = {Gemini: Practical Reconfigurable Datacenter Networks with
     		  Topology and Traffic Engineering},
     journal = {CoRR},
     volume = {abs/2110.08374},
     year = {2021},
     eprinttype = {arXiv},
     eprint = {2110.08374},
     timestamp = {Thu, 03 Feb 2022 07:26:25 +0100},
     biburl = {https://dblp.org/rec/journals/corr/abs-2110-08374.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
     topics = {dcn}
   }

2020

1. NSDI

   CarMap-Fast 3D Feature Map Updates for Automobiles

   Fawad Ahmad, Hang Qiu, Ray Eells, and 2 more authors

   In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20), Feb 2020

   Bib Link Code Slides

   @inproceedings{ahmad.f.qiu.h.ea:carmap-fast,
     title = {CarMap-Fast 3D Feature Map Updates for Automobiles},
     author = {Ahmad, Fawad and Qiu, Hang and Eells, Ray and Bai, Fan and Govindan, Ramesh},
     video = {https://www.youtube.com/watch?v=SlG4QGq5ypk},
     year = {2020},
     date = {2020-01-01},
     booktitle = {17th USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI 20)},
     publisher = {USENIX Association},
     address = {Santa Clara, CA},
     keywords = {},
     pubstate = {published},
     topics = {vehicular},
     tppubtype = {inproceedings}
   }

2. IoTJ

   New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges

   Saurabh Bagchi, Tarek F Abdelzaher, Ramesh Govindan, and 4 more authors

   IEEE Internet of Things Journal, Feb 2020

   Bib Link

   @article{bagchi.s.abdelzaher.tf.ea:new,
     title = {New Frontiers in IoT: Networking, Systems, Reliability,
     		  and Security Challenges},
     author = {Bagchi, Saurabh and Abdelzaher, Tarek F and Govindan, Ramesh and Shenoy, Prashant and Atrey, Akanksha and Ghosh, Pradipta and Xu, Ran},
     url = {https://ieeexplore.ieee.org/document/9136673},
     year = {2020},
     date = {2020-01-01},
     journal = {IEEE Internet of Things Journal},
     keywords = {},
     topics = {sensing},
     pubstate = {published},
     tppubtype = {article}
   }

3. IROS

   Persistent Connected Power Constrained Surveillance with Unmanned Aerial Vehicles

   Pradipta Ghosh, Paulo Tabuada, Ramesh Govindan, and 1 more author

   In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Feb 2020

   Bib

   @inproceedings{ghosh.p.tabuada.p.ea:persistent,
     title = {Persistent Connected Power Constrained Surveillance with
     		  Unmanned Aerial Vehicles},
     author = {Ghosh, Pradipta and Tabuada, Paulo and Govindan, Ramesh and Sukhatme, Gaurav S},
     year = {2020},
     date = {2020-01-01},
     booktitle = {Proceedings of the IEEE/RSJ International Conference on
     		  Intelligent Robots and Systems (IROS)},
     keywords = {},
     pubstate = {published},
     topics = {sensing},
     tppubtype = {inproceedings}
   }

4. Rapid Top-Down Synthesis of Large-Scale IoT Networks

   Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, and 6 more authors

   In Proceedings of the IEEE International Conference on Computer Communications and Networks (ICCCN), Feb 2020

   Bib Link

   @inproceedings{ghosh.p.bunton.j.ea:rapid,
     title = {Rapid Top-Down Synthesis of Large-Scale IoT Networks},
     author = {Ghosh, Pradipta and Bunton, Jonathan and Pylorof, Dimitrios and Vieira, Marcos and Chan, Kevin and Govindan, Ramesh and Sukhatme, Gaurav and Tabuada, Paulo and Verma, Gunjan},
     year = {2020},
     date = {2020-01-01},
     booktitle = {Proceedings of the IEEE International Conference on
     		  Computer Communications and Networks (ICCCN)},
     keywords = {},
     pubstate = {published},
     topics = {sensing},
     tppubtype = {inproceedings}
   }

5. Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping

   Xiaochen Liu, Yurong Jiang, Kyu-Han Kim, and 1 more author

   In , Feb 2020

   Bib Link

   @inproceedings{liu.x.jiang.y.ea:grab,
     title = {Grab: Fast and Accurate Sensor Processing for Cashier-Free
     		  Shopping},
     author = {Liu, Xiaochen and Jiang, Yurong and Kim, Kyu-Han and Govindan, Ramesh},
     year = {2020},
     date = {2020-01-07},
     publisher = {arXiv preprint arXiv:2001.01033},
     keywords = {},
     pubstate = {published},
     topics = {sensing},
     tppubtype = {inproceedings}
   }

6. Enabling Premium Service for Streaming Video in Cellular Networks

   Xing Xu, Ramesh Govindan, Ajay Mahimkar, and 3 more authors

   In 2020 IFIP Networking Conference (Networking), Feb 2020

   Bib

   @inproceedings{xu.x.govindan.r.ea:enabling,
     author = {Xu, Xing and Govindan, Ramesh and Mahimkar, Ajay and Shankaranarayanan, N.K. and Wang, Jia and Yu, Minlan},
     booktitle = {2020 IFIP Networking Conference (Networking)},
     title = {Enabling Premium Service for Streaming Video in Cellular
     		  Networks},
     year = {2020},
     volume = {},
     number = {},
     pages = {244-252},
     topics = {video},
     doi = {}
   }

7. CoNEXT

   Meeting SLOs in Cross-Platform NFV

   Jane Yen, Jianfeng Wang, Sucha Supittayapornpong, and 3 more authors

   In Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies, Feb 2020

   Bib Link

   @inproceedings{yen.j.wang.j.ea:meeting,
     author = {Yen, Jane and Wang, Jianfeng and Supittayapornpong, Sucha and Vieira, Marcos A M and Govindan, Ramesh and Raghavan, Barath},
     title = {Meeting SLOs in Cross-Platform NFV},
     url = {https://doi.org/10.1145/3386367.3431292},
     doi = {10.1145/3386367.3431292},
     isbn = {9781450379489},
     year = {2020},
     date = {2020-01-01},
     booktitle = {Proceedings of the 16th International Conference on
     		  Emerging Networking EXperiments and Technologies},
     pages = {509–523},
     publisher = {Association for Computing Machinery},
     address = {Barcelona, Spain},
     series = {CoNEXT '20},
     keywords = {},
     topics = {measure},
     pubstate = {published},
     tppubtype = {inproceedings}
   }

2019

1. CoNEXT

   AViC: A Cache for Adaptive Bitrate Video

   Zahaib Akhtar, Yaguang Li, Ramesh Govindan, and 4 more authors

   In 15th ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT) Orlando, Florida, U.S. December 9-12, 2019, Feb 2019

   Bib Link

   @inproceedings{akhtar.z.li.y.ea:avic,
     title = {AViC: A Cache for Adaptive Bitrate Video},
     author = {Akhtar, Zahaib and Li, Yaguang and Govindan, Ramesh and Halepovic, Emir and Liu, Yan and Hao, Shuai and Sen, Subhabrata},
     year = {2019},
     date = {2019-12-09},
     booktitle = {15th ACM Conference on emerging Networking EXperiments and
     		  Technologies (CoNEXT) Orlando, Florida, U.S. December 9-12,
     		  2019},
     keywords = {},
     pubstate = {published},
     topics = {video},
     tppubtype = {inproceedings}
   }

2. Sensys

   Caesar: Cross-camera Complex Activity Recognition

   Xiaochen Liu, Pradipta Ghosh, Oytun Ulutan, and 3 more authors

   Feb 2019

   Bib Link

   @conference{liu.x.ghosh.p.ea:caesar,
     title = {Caesar: Cross-camera Complex Activity Recognition},
     author = {Liu, Xiaochen and Ghosh, Pradipta and Ulutan, Oytun and Manjunath, B.S. and Chan, Kevin and Govindan, Ramesh},
     doi = {doi.org/10.1145/3356250.3360041},
     year = {2019},
     date = {2019-11-11},
     booktitle = {SenSys ’19: Conference on Embedded Networked Sensor
     		  Systems},
     publisher = {ACM},
     address = {New York, USA},
     pubstate = {published},
     tppubtype = {conference},
     topics = {sensing},
   }

3. SIGCOMM

   Towards Highly Available Clos-Based WAN Routers

   Sucha Supittayapornpong, Barath Raghavan, and Ramesh Govindan

   Feb 2019

   Bib Link

   @conference{supittayapornpong.s.raghavan.b.ea:towards,
     title = {Towards Highly Available Clos-Based WAN Routers},
     author = {Supittayapornpong, Sucha and Raghavan, Barath and Govindan, Ramesh},
     url = {https://dl.acm.org/citation.cfm?id=3342086},
     year = {2019},
     date = {2019-08-19},
     booktitle = {ACM SIGCOMM Conference on Network Architectures and
     		  Protocols},
     pubstate = {published},
     topics = {dcn},
     tppubtype = {conference},
   }

4. NSDI

   Understanding Lifecycle Management Complexity of Datacenter Topologies

   Mingyang Zhang, Radhika Niranjan Mysore, Sucha Supittayapornpong, and 1 more author

   In 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Feb 2019

   Bib

   @inproceedings{zhang.m.mysore.rn.ea:understanding,
     title = {Understanding Lifecycle Management Complexity of
     		  Datacenter Topologies},
     author = {Zhang, Mingyang and Mysore, Radhika Niranjan and Supittayapornpong, Sucha and Govindan, Ramesh},
     year = {2019},
     date = {2019-02-26},
     booktitle = {16th USENIX Symposium on Networked Systems Design and
     		  Implementation (NSDI)},
     pubstate = {published},
     topics = {dcn},
     tppubtype = {conference},
   }

2018

1. ICDCS

   Will Distributed Computing Revolutionize Peace? The Emergence of Battlefield IoT

   Tarek Abdelzaher, Nora Ayanian, Tamer Basar, and 21 more authors

   In Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Feb 2018

   Abs Bib Link

   An upcoming frontier for distributed computing might literally save lives in future military operations. In civilian scenarios, significant efficiencies were gained from interconnecting devices into networked services and applications that automate much of everyday life from smart homes to intelligent transportation. The ecosystem of such applications and services is collectively called the Internet of Things (IoT). Can similar benefits be gained in a military context by developing an IoT for the battlefield? This paper describes unique challenges in such a context as well as potential risks, mitigation strategies, and benefits.

   @inproceedings{abdelzaher.t.ayanian.n.ea:will,
     title = {Will Distributed Computing Revolutionize Peace? The
     		  Emergence of Battlefield IoT},
     author = {Abdelzaher, Tarek and Ayanian, Nora and Basar, Tamer and Diggavi, Suhas and Diesner, Jana and Ganesan, Deepak and Govindan, Ramesh and Jha, Susmit and Lepoint, Tancrede and Marlin, Ben and Nahrstedt, Klara and Nicol, David and Rajkumar, Raj and Russell, Stephen and Seshia, Sanjit and Sha, Fei and Shenoy, Prashant and Srivastava, Mani and Saukhatme, Gaurav and Swami, Ananthram and Tabuada, Paulo and Towsley, Don and Vaidya, Nitin and Veeravalli, Venu},
     url = {https://ieeexplore.ieee.org/document/8416375/},
     year = {2018},
     date = {2018-07-02},
     booktitle = {Proc. IEEE International Conference on Distributed
     		  Computing Systems (ICDCS)},
     address = {Vienna, Austria},
   }

2. Fusion

   QuickSketch: Building 3D Representations in Unknown Environments Using Crowdsourcing

   Fawad Ahmad, Hang Qiu, Xiaochen Liu, and 2 more authors

   In 2018 21st International Conference on Information Fusion (FUSION), Feb 2018

   Bib Link

   @inproceedings{ahmad.f.qiu.h.ea:quicksketch,
     title = {QuickSketch: Building 3D Representations in Unknown
     		  Environments Using Crowdsourcing},
     author = {Ahmad, Fawad and Qiu, Hang and Liu, Xiaochen and Bai, Fan and Govindan, Ramesh},
     doi = {10.23919/ICIF.2018.8455437},
     year = {2018},
     date = {2018-07-01},
     booktitle = {2018 21st International Conference on Information Fusion
     		  (FUSION)},
     pages = {2314-2321},
     keywords = {Three-dimensional
     		  displays;Visualization;Cameras;Simultaneous localization
     		  and mapping;Feature extraction},
     pubstate = {published},
     topics = {vehicular},
     tppubtype = {inproceedings}
   }

3. SIGCOMM

   Oboe: Auto-tuning Video ABR Algorithms to Network Conditions

   Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, and 6 more authors

   In Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication (SIGCOMM), Feb 2018

   Bib Link

   @inproceedings{akhtar.z.nam.ys.ea:oboe,
     title = {Oboe: Auto-tuning Video ABR Algorithms to Network
     		  Conditions},
     author = {Akhtar, Zahaib and Nam, Yun Seong and Govindan, Ramesh and Rao, Sanjay and Chen, Jessica and Katz-Bassett, Ethan and Ribeiro, Bruno and Zhan, Jibin and Zhang, Hui},
     url = {http://doi.acm.org/10.1145/3230543.3230558},
     doi = {10.1145/3230543.3230558},
     isbn = {978-1-4503-5567-4},
     year = {2018},
     date = {2018-01-01},
     booktitle = {Proceedings of the 2018 Conference of the ACM Special
     		  Interest Group on Data Communication (SIGCOMM)},
     pages = {44--58},
     publisher = {ACM},
     address = {Budapest, Hungary},
     series = {SIGCOMM '18},
     keywords = {adaptive bitrate algorithms, video delivery},
     pubstate = {published},
     topics = {video},
     tppubtype = {inproceedings}
   }

4. IMC

   Understanding Video Management Planes

   Zahaib Akhtar, Yun Seong Nam, Jessica Chen, and 5 more authors

   In Proceedings of the Internet Measurement Conference 2018, Feb 2018

   Bib Link

   @inproceedings{akhtar.z.nam.ys.ea:understanding,
     title = {Understanding Video Management Planes},
     author = {Akhtar, Zahaib and Nam, Yun Seong and Chen, Jessica and Govindan, Ramesh and Katz-Bassett, Ethan and Rao, Sanjay and Zhan, Jibin and Zhang, Hui},
     url = {http://doi.acm.org/10.1145/3278532.3278554},
     doi = {10.1145/3278532.3278554},
     isbn = {978-1-4503-5619-0},
     year = {2018},
     date = {2018-11-01},
     booktitle = {Proceedings of the Internet Measurement Conference 2018},
     pages = {238--251},
     publisher = {ACM},
     address = {Boston, MA, USA},
     series = {IMC '18},
     keywords = {video delivery, Video Management Plane},
     pubstate = {published},
     tppubtype = {inproceedings},
     topics = {video},
   }

5. Middleware

   Olympian: Scheduling GPU Usage in a Deep Neural Network Model Serving System

   Yitao Hu, Swati Rallapalli, Bongjun Ko, and 1 more author

   In Proceedings of the 19th International Middleware Conference, Feb 2018

   Bib Link

   @inproceedings{hu.y.rallapalli.s.ea:olympian,
     title = {Olympian: Scheduling GPU Usage in a Deep Neural Network
     		  Model Serving System},
     author = {Hu, Yitao and Rallapalli, Swati and Ko, Bongjun and Govindan, Ramesh},
     url = {http://doi.acm.org/10.1145/3274808.3274813},
     doi = {10.1145/3274808.3274813},
     isbn = {978-1-4503-5702-9},
     year = {2018},
     date = {2018-12-01},
     booktitle = {Proceedings of the 19th International Middleware
     		  Conference},
     pages = {53--65},
     publisher = {ACM},
     address = {Rennes, France},
     series = {Middleware '18},
     keywords = {Deep Neural Network, GPU Scheduling, Multiple Concurrent
     		  Requests, Predictable Latency, Scheduling Algorithms,
     		  Serving System},
     pubstate = {published},
     topics = {mobile},
     tppubtype = {inproceedings}
   }

6. MobiSys

   Gnome: A Practical Approach to NLOS Mitigation for GPS Positioning in Smartphones

   Xiaochen Liu, Suman Nath, and Ramesh Govindan

   In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys), Feb 2018

   Bib Link

   @inproceedings{liu.x.nath.s.ea:gnome,
     title = {Gnome: A Practical Approach to NLOS Mitigation for GPS
     		  Positioning in Smartphones},
     author = {Liu, Xiaochen and Nath, Suman and Govindan, Ramesh},
     url = {http://doi.acm.org/10.1145/3210240.3210343},
     doi = {10.1145/3210240.3210343},
     isbn = {978-1-4503-5720-3},
     year = {2018},
     date = {2018-01-01},
     booktitle = {Proceedings of the 16th Annual International Conference on
     		  Mobile Systems, Applications, and Services (Mobisys)},
     pages = {163--177},
     publisher = {ACM},
     address = {Munich, Germany},
     series = {MobiSys '18},
     topics = {mobile},
     keywords = {GPS, Localization, Mobile Computing, NLOS Mitigation},
     pubstate = {published},
     tppubtype = {inproceedings}
   }

7. TVT

   Towards Robust Vehicular Context Sensing

   H Qiu, J Chen, S Jain, and 7 more authors

   IEEE Transactions on Vehicular Technology, Feb 2018

   Bib

   @article{qiu.h.chen.j.ea:towards,
     title = {Towards Robust Vehicular Context Sensing},
     author = {Qiu, H and Chen, J and Jain, S and Jiang, Y and McCartney, M and Kar, G and Bai, F and Grimm, D K and Gruteser, M and Govindan, R},
     doi = {10.1109/TVT.2017.2771623},
     issn = {0018-9545},
     year = {2018},
     date = {2018-03-01},
     journal = {IEEE Transactions on Vehicular Technology},
     volume = {67},
     number = {3},
     pages = {1909-1922},
     keywords = {vehicular sensing},
     topics = {vehicular},
     pubstate = {published},
     tppubtype = {article}
   }

8. IoTDI

   Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking

   H Qiu, X Liu, S Rallapalli, and 5 more authors

   In 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), Feb 2018

   Bib

   @inproceedings{qiu.h.liu.x.ea:kestrel,
     title = {Kestrel: Video Analytics for Augmented Multi-Camera
     		  Vehicle Tracking},
     author = {Qiu, H and Liu, X and Rallapalli, S and Bency, A J and Chan, K and Urgaonkar, R and Manjunath, B S and Govindan, R},
     doi = {10.1109/IoTDI.2018.00015},
     year = {2018},
     date = {2018-04-01},
     booktitle = {2018 IEEE/ACM Third International Conference on
     		  Internet-of-Things Design and Implementation (IoTDI)},
     pages = {48-59},
     pubstate = {published},
     tppubtype = {inproceedings},
     topics = {vehicular,sensing},
   }

9. MobiSys

   AVR: Augmented Vehicular Reality

   Hang Qiu, Fawad Ahmad, Fan Bai, and 2 more authors

   In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys), Feb 2018

   Bib Link

   @inproceedings{qiu.h.ahmad.f.ea:avr,
     title = {AVR: Augmented Vehicular Reality},
     author = {Qiu, Hang and Ahmad, Fawad and Bai, Fan and Gruteser, Marco and Govindan, Ramesh},
     url = {http://doi.acm.org/10.1145/3210240.3210319},
     doi = {10.1145/3210240.3210319},
     isbn = {978-1-4503-5720-3},
     year = {2018},
     date = {2018-01-01},
     booktitle = {Proceedings of the 16th Annual International Conference on
     		  Mobile Systems, Applications, and Services (Mobisys)},
     pages = {81--95},
     publisher = {ACM},
     address = {Munich, Germany},
     series = {MobiSys '18},
     topics = {vehicular},
     keywords = {Autonomous Cars, Collaborative Sensing, Extended Vision,
     		  vehicular sensing},
     pubstate = {published},
     tppubtype = {inproceedings}
   }

10. ToN

    Scalability and Satisfiability of Quality-of-Information in Wireless Networks

    Scott T Rager, Ertugrul N Ciftcioglu, Ram Ramanathan, and 2 more authors

    IEEE/ACM Trans. Netw., Feb 2018

    Bib Link

    @article{rager.st.ciftcioglu.en.ea:scalability,
      title = {Scalability and Satisfiability of Quality-of-Information
      		  in Wireless Networks},
      author = {Rager, Scott T and Ciftcioglu, Ertugrul N and Ramanathan, Ram and Porta, Thomas F La and Govindan, Ramesh},
      url = {https://doi.org/10.1109/TNET.2017.2781202},
      doi = {10.1109/TNET.2017.2781202},
      issn = {1063-6692},
      year = {2018},
      date = {2018-01-01},
      journal = {IEEE/ACM Trans. Netw.},
      volume = {26},
      number = {1},
      pages = {398--411},
      publisher = {IEEE Press},
      address = {Piscataway, NJ, USA},
      keywords = {},
      pubstate = {published},
      topics = {sensing},
      tppubtype = {article}
    }

2017

1. SEC

   Pre-DriveID: Pre-trip Driver Identification from In-vehicle Data

   Gorkem Kar, Shubham Jain, Marco Gruteser, and 3 more authors

   In Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017, Feb 2017

   Bib

   @inproceedings{kar.g.jain.s.ea:pre-driveid--pre-trip-driver-identification-from-in-vehicle-data,
     author = {Kar, Gorkem and Jain, Shubham and Gruteser, Marco and Chen, Jinzhu and Bai, Fan and Govindan, Ramesh},
     title = {{Pre-DriveID: Pre-trip Driver Identification from
     		  In-vehicle Data}},
     booktitle = {{Proceedings of the Second {ACM/IEEE} Symposium on Edge
     		  Computing, San Jose / Silicon Valley, {SEC} 2017, CA, USA,
     		  October 12-14, 2017}},
     pages = {2:1--2:12},
     year = {2017},
     topics = {vehicular},
     doi = {10.1145/3132211.3134462}
   }

2. SEC

   Real-time Traffic Estimation at Vehicular Edge Nodes

   Gorkem Kar, Shubham Jain, Marco Gruteser, and 2 more authors

   In Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017, Feb 2017

   Bib

   @inproceedings{kar.g.jain.s.ea:real-time-traffic-estimation-at-vehicular-edge-nodes,
     author = {Kar, Gorkem and Jain, Shubham and Gruteser, Marco and Bai, Fan and Govindan, Ramesh},
     title = {{Real-time Traffic Estimation at Vehicular Edge Nodes}},
     booktitle = {{Proceedings of the Second {ACM/IEEE} Symposium on Edge
     		  Computing, San Jose / Silicon Valley, {SEC} 2017, CA, USA,
     		  October 12-14, 2017}},
     pages = {3:1--3:13},
     topics = {vehicular},
     year = {2017}
   }

3. Augmented Vehicular Reality: Enabling Extended Vision for Future Vehicles

   Hang Qiu, Fawad Ahmad, Ramesh Govindan, and 3 more authors

   In Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, HotMobile 2017, Sonoma, CA, USA, February 21 - 22, 2017, Feb 2017

   Bib

   @inproceedings{qiu.h.ahmad.f.ea:augmented,
     author = {Qiu, Hang and Ahmad, Fawad and Govindan, Ramesh and Gruteser, Marco and Bai, Fan and Kar, Gorkem},
     title = {Augmented Vehicular Reality: Enabling Extended Vision for
     		  Future Vehicles},
     booktitle = {Proceedings of the 18th International Workshop on Mobile
     		  Computing Systems and Applications, HotMobile 2017, Sonoma,
     		  CA, USA, February 21 - 22, 2017},
     pages = {67--72},
     topics = {vehicular},
     year = {2017}
   }

4. TVT

   Towards Robust Vehicular Context Sensing

   Hang Qiu, Jinzhu Chen, Shubham Jain, and 7 more authors

   IEEE Transactions on Vehicular Technology, Feb 2017

   Bib

   @article{qiu.h.chen.j.ea:towards-robust-vehicular-context-sensing,
     author = {Qiu, Hang and Chen, Jinzhu and Jain, Shubham and Jiang, Yurong and McCartney, Matt and Kar, Gorkem and Bai, Fan and Grimm, Donald K. and Gruteser, Marco and Govindan, Ramesh},
     title = {{Towards Robust Vehicular Context Sensing}},
     journal = {IEEE Transactions on Vehicular Technology},
     topics = {vehicular},
     year = {2017}
   }

5. ToN

   Scalability and Satisfiability of Quality-of-Information in Wireless Networks

   S. Rager, E. Ciftcioglu, R. Ramanathan, and 2 more authors

   IEEE Transactions on Networking, Feb 2017

   Bib

   @article{rager.s.ciftcioglu.e.ea:scalability-and-satisfiability-of-quality-of-information-in-wireless-networks,
     author = {Rager, S. and Ciftcioglu, E. and Ramanathan, R. and Porta, T. La and Govindan, R.},
     title = {{Scalability and Satisfiability of Quality-of-Information
     		  in Wireless Networks}},
     journal = {IEEE Transactions on Networking},
     year = {2017}
   }

6. ICDCS

   Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT

   Tarek F. Abdelzaher, Md. Tanvir Al Amin, Amotz Bar-Noy, and 9 more authors

   In 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, GA, USA, June 5-8, 2017, Feb 2017

   Bib

   @inproceedings{abdelzaher.tf.amin.mta.ea:decision-driven-execution--a-distributed-resource-management-paradigm-for-the-age-of-iot,
     author = {Abdelzaher, Tarek F. and Amin, Md. Tanvir Al and Bar{-}Noy, Amotz and Dron, William and Govindan, Ramesh and Hobbs, Reginald and Hu, Shaohan and Kim, Jung{-}Eun and Lee, Jongdeog and Marcus, Kelvin and Yao, Shuochao and Zhao, Yiran},
     title = {{Decision-Driven Execution: {A} Distributed Resource
     		  Management Paradigm for the Age of IoT}},
     booktitle = {{37th {IEEE} International Conference on Distributed
     		  Computing Systems, {ICDCS} 2017, Atlanta, GA, USA, June
     		  5-8, 2017}},
     pages = {1825--1835},
     year = {2017}
   }

2016

1. SIGCOMM

   An Internet-Wide Analysis of Traffic Policing

   Tobias Flach, Pavlos Papageorge, Andreas Terzis, and 5 more authors

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’16) , au 2016

   Bib

   @inproceedings{flach.t.papageorge.p.ea:an-internet-wide-analysis-of-traffic-policing,
     author = {Flach, Tobias and Papageorge, Pavlos and Terzis, Andreas and Pedrosa, Luis and Cheng, Yuchung and Karim, Tayeb and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {An Internet-Wide Analysis of Traffic Policing} },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '16) },
     month =  au,
     location = { Florianópolis, Brazil },
     topics = {video},
     year = {2016},
     		  }
   }

2. SIGCOMM

   WebPerf: Evaluating “What-If” Scenarios for Cloud-hosted Web Applications

   Yurong Jiang, Lenin Ravindranath, Suman Nath, and 1 more author

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’16) , au 2016

   Bib

   @inproceedings{jiang.y.ravindranath.l.ea:webperf--evaluating-what-if-scenarios-for-cloud-hosted-web-applications,
     author = {Jiang, Yurong and Ravindranath, Lenin and Nath, Suman and Govindan, Ramesh},
     title = { {WebPerf: Evaluating “What-If” Scenarios for
     		  Cloud-hosted Web Applications} },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '16) },
     month =  au,
     location = { Florianópolis, Brazil },
     topics = {measure},
     year = {2016}
   }

3. PLoSONE

   Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders

   Bin Liu, Ramesh Govindan, and Brian Uzzi

   PLoSONE, Jan 2016

   Bib Link

   @article{liu.b.govindan.r.ea:do-emotions-expressed-online-correlate-with-actual-changes-in-decision-making--the-case-of-stock-day-traders-,
     author = {Liu, Bin and Govindan, Ramesh and Uzzi, Brian},
     title = {{Do Emotions Expressed Online Correlate with Actual
     		  Changes in Decision-Making?: The Case of Stock Day Traders
     		  }},
     journal = {PLoSONE},
     year = {2016},
     month = jan,
     url = {http://dx.doi.org/10.1371/journal.pone.0144945}
   }

4. SIGCOMM

   Trumpet: Timely and Precise Triggers in Data Centers

   Masoud Moshref, Minlan Yu, Ramesh Govindan, and 1 more author

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’16) , au 2016

   Bib

   @inproceedings{moshref.m.yu.m.ea:trumpet--timely-and-precise-triggers-in-data-centers,
     author = {Moshref, Masoud and Yu, Minlan and Govindan, Ramesh and Vahdat, Amin},
     title = { {Trumpet: Timely and Precise Triggers in Data Centers} },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '16) },
     month =  au,
     location = { Florianópolis, Brazil },
     year = {2016},
     topics = {measure},
     		  },
     projects = { Software-definedMeasurement }
   }

5. SIGCOMM

   Evolve or Die: High-Availability Design Principles Drawn from Google’s Network Infrastructure

   Ramesh Govindan, Ina Minei, Mahesh Kallahalla, and 2 more authors

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’16) , au 2016

   Bib

   @inproceedings{govindan.r.minei.i.ea:evolve-or-die--high-availability-design-principles-drawn-from-googles-network-infrastructure,
     author = {Govindan, Ramesh and Minei, Ina and Kallahalla, Mahesh and Koley, Bikash and Vahdat, Amin},
     title = { {Evolve or Die: High-Availability Design Principles Drawn
     		  from Google’s Network Infrastructure} },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '16) },
     month =  au,
     location = { Florianópolis, Brazil },
     topics = {dcn,measure},
     year = {2016}
   }

6. video

   Context adaptive thresholding and entropy coding for very low complexity JPEG transcoding

   Xing Xu, Zahaib Akhtar, Ramesh Govindan, and 2 more authors

   In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , ma 2016

   Bib

   @inproceedings{xu.x.akhtar.z.ea:context-adaptive-thresholding-and-entropy-coding-for-very-low-complexity-jpeg-transcoding,
     author = {Xu, Xing and Akhtar, Zahaib and Govindan, Ramesh and Lloyd, Wyatt and Ortega, Antonio},
     title = { {Context adaptive thresholding and entropy coding for
     		  very low complexity JPEG transcoding} },
     booktitle = { 2016 IEEE International Conference on Acoustics, Speech
     		  and Signal Processing (ICASSP) },
     year = {2016},
     month =  ma,
     location = { Shanghai, China },
     		  }
   }

7. Ubicomp

   ALPS: Accurate Landmark Positioning at City Scales

   Yitao Hu, Xiaochen Liu, Suman Nath, and 1 more author

   In the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) , se 2016

   Bib

   @inproceedings{hu.y.liu.x.ea:alps--accurate-landmark-positioning-at-city-scales,
     author = {Hu, Yitao and Liu, Xiaochen and Nath, Suman and Govindan, Ramesh},
     title = { {ALPS: Accurate Landmark Positioning at City Scales} },
     booktitle = { the 2016 ACM International Joint Conference on Pervasive
     		  and Ubiquitous Computing (UbiComp 2016) },
     year = {2016},
     month =  se,
     location = { Heidelberg, Germany },
     topics = {mobile},
     		  }
   }

8. DBit: Assessing Statistically Significant Differences in CDN Performance

   Zahaib Akhtar, Alefiya Hussain, Ethan Katz-Bassett, and 1 more author

   In Workshop on Traffic Monitoring and Analysis (TMA) , ap 2016

   Bib

   @inproceedings{akhtar.z.hussain.a.ea:dbit--assessing-statistically-significant-differences-in-cdn-performance,
     author = {Akhtar, Zahaib and Hussain, Alefiya and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {DBit: Assessing Statistically Significant Differences in
     		  CDN Performance} },
     booktitle = { Workshop on Traffic Monitoring and Analysis (TMA) },
     month =  ap,
     location = { Louvain La Neuve, Belgium },
     year = {2016},
     projects = { CDN-analysis }
   }

9. PAM

   Modeling HTTP/2 Speed from HTTP/1 Traces

   Kyriakos Zarifis, Mark Holland, Manish Jain, and 2 more authors

   In Passive and Active Measurement Conference (PAM ’16) , ma 2016

   Bib

   @inproceedings{zarifis.k.holland.m.ea:modeling-http2-speed-from-http1-traces,
     author = {Zarifis, Kyriakos and Holland, Mark and Jain, Manish and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {Modeling HTTP/2 Speed from HTTP/1 Traces} },
     booktitle = { Passive and Active Measurement Conference (PAM '16) },
     month =  ma,
     location = { Crete, Greece },
     topics = {video},
     year = {2016},
     		  }
   }

2015

1. IMC

   Are We One Hop Away from a Better Internet?

   Yi-Ching Chiu, Brandon Schlinker, Abhishek Balaji Radhakrishnan, and 2 more authors

   In ACM Internet Measurement Conference (IMC) , oc 2015

   Bib

   @inproceedings{chiu.y.schlinker.b.ea:are-we-one-hop-away-from-a-better-internet,
     author = {Chiu, Yi-Ching and Schlinker, Brandon and Radhakrishnan, Abhishek Balaji and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {Are We One Hop Away from a Better Internet?} },
     booktitle = { ACM Internet Measurement Conference (IMC) },
     month =  oc,
     location = { Tokyo, Japan },
     year = {2015},
     publisher = { ACM },
     topics = {design},
     		  },
     projects = { }
   }

2. NSDI

   A General Approach to Network Configuration Analysis

   A. Fogel, S. Fung, L. Pedrosa, and 4 more authors

   In Proc. Usenix Symposium on Networked Systems Design and Implementation (NSDI), oc 2015

   Bib

   @inproceedings{fogel.a.fung.s.ea:a-general-approach-to-network-configuration-analysis,
     author = {Fogel, A. and Fung, S. and Pedrosa, L. and Walraed-Sullivan, M. and Govindan, R. and Mahajan, R. and Millstein, T.},
     title = {{A General Approach to Network Configuration Analysis}},
     booktitle = {Proc. Usenix Symposium on Networked Systems Design and
     		  Implementation (NSDI)},
     topics = {measure},
     year = {2015}
   }

3. RTSS

   Data Acquisition for Real-time Decision-making under Freshness Constraints

   Shaohan Hu and Shuochao Yao and Haiming Jin and Yiran Zhao and Yitao Hu and Xiaochen Liu and Nooreddin Naghibolhosseini and Shen Li and Akash Kapoor and William Dron and Lu Su and Amotz Bar-Noy and Pedro Szekely and Ramesh Govindan and Reginald Hobbs and Tarek F. Abdelzaher

   In The 36th IEEE Real-Time Systems Symposium (RTSS 2015) , de 2015

   Bib

   @inproceedings{shaohan-hu-and-shuochao-yao-and-haiming-jin-and-yiran-zhao-and-yitao-hu-and-xiaochen-liu-and-nooreddin-naghibolhosseini-and-shen-li-and-akash-kapoor-and-william-dron-and-lu-su-and-amotz-bar-noy-and-pedro-szekely-and-ramesh-govindan-and-reginald-hobbs-and-tarek-f--abdelzaher:data-acquisition-for-real-time-decision-making-under-freshness-constraints,
     author = {{Shaohan Hu and Shuochao Yao and Haiming Jin and Yiran
     		  Zhao and Yitao Hu and Xiaochen Liu and Nooreddin
     		  Naghibolhosseini and Shen Li and Akash Kapoor and William
     		  Dron and Lu Su and Amotz Bar-Noy and Pedro Szekely and
     		  Ramesh Govindan and Reginald Hobbs and Tarek F.
     		  Abdelzaher}},
     title = { {Data Acquisition for Real-time Decision-making under
     		  Freshness Constraints} },
     booktitle = { The 36th IEEE Real-Time Systems Symposium (RTSS 2015) },
     month =  de,
     location = { TX, USA },
     year = {2015}
   }

4. On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing

   Shaohan Hu, Shen Li, Shuochao Yao, and 4 more authors

   In The 11th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2015) , ju 2015

   Bib

   @inproceedings{hu.s.li.s.ea:on-exploiting-logical-dependencies-for-minimizing-additive-cost-metrics-in-resource-limited-crowdsensing,
     author = {Hu, Shaohan and Li, Shen and Yao, Shuochao and Su, Lu and Govindan, Ramesh and Hobbs, Reginald and Abdelzaher, Tarek F.},
     title = { {On Exploiting Logical Dependencies for Minimizing
     		  Additive Cost Metrics in Resource-Limited Crowdsensing} },
     booktitle = { The 11th IEEE International Conference on Distributed
     		  Computing in Sensor Systems (DCOSS 2015) },
     month =  ju,
     location = { Fortaleza, Brazil },
     year = {2015},
     projects = { }
   }

5. SenSys

   CARLOC: Precisely Tracking Automobile Position

   Yurong Jiang, Hang Qiu, Matthew McCartney, and 5 more authors

   In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys) , no 2015

   Bib

   @inproceedings{jiang.y.qiu.h.ea:carloc--precisely-tracking-automobile-position,
     author = {Jiang, Yurong and Qiu, Hang and McCartney, Matthew and Sukhatme, Gaurav and Gruteser, Marco and Bai, Fan and Grimm, Donald and Govindan, Ramesh},
     title = { {CARLOC: Precisely Tracking Automobile Position} },
     booktitle = { Proceedings of the 13th ACM Conference on Embedded
     		  Networked Sensor Systems (SenSys) },
     month =  no,
     topics = {vehicular},
     location = { Seoul, Korea },
     year = {2015}
   }

6. MobiSys

   Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps

   Bin Liu, Bin Liu, Hongxia Jin, and 1 more author

   In The 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys 2015) , ma 2015

   Bib

   @inproceedings{liu.b.liu.b.ea:efficient-privilege-de-escalation-for-ad-libraries-in-mobile-apps,
     author = {Liu, Bin and Liu, Bin and Jin, Hongxia and Govindan, Ramesh},
     title = { {Efficient Privilege De-Escalation for Ad Libraries in
     		  Mobile Apps} },
     booktitle = { The 13th Annual International Conference on Mobile
     		  Systems, Applications, and Services (MobiSys 2015) },
     month =  ma,
     location = { Florence, Italy },
     topics = {mobile},
     year = {2015},
     projects = { }
   }

7. CoNEXT

   SCREAM: Sketch Resource Allocation for Software-defined Measurement

   Masoud Moshref, Minlan Yu, Ramesh Govindan, and 1 more author

   In ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) , de 2015

   Bib

   @inproceedings{moshref.m.yu.m.ea:scream--sketch-resource-allocation-for-software-defined-measurement,
     author = {Moshref, Masoud and Yu, Minlan and Govindan, Ramesh and Vahdat, Amin},
     title = { {SCREAM: Sketch Resource Allocation for Software-defined
     		  Measurement} },
     booktitle = { ACM International Conference on emerging Networking
     		  EXperiments and Technologies (CoNEXT) },
     month =  de,
     topics = {measure},
     location = { Heidelberg, Germany },
     year = {2015}
   }

8. NSDI

   Analyzing Protocol Implementations for Interoperability

   L. Pedrosa, A. Fogel, N. Kothari, and 3 more authors

   In Proc. Usenix Symposium on Networked Systems Design and Implementation (NSDI), de 2015

   Bib

   @inproceedings{pedrosa.l.fogel.a.ea:analyzing-protocol-implementations-for-interoperability,
     author = {Pedrosa, L. and Fogel, A. and Kothari, N. and Govindan, R. and Mahajan, R. and Millstein, T.},
     title = {{Analyzing Protocol Implementations for
     		  Interoperability}},
     booktitle = {Proc. Usenix Symposium on Networked Systems Design and
     		  Implementation (NSDI)},
     topics = {measure},
     year = {2015}
   }

9. MobiSys

   FlexiWeb: Network-Aware Compaction for Accelerating Mobile Web Transfers

   S. Singh, H. Madhyastha, S. Krishnamurthy, and 1 more author

   In Proc. ACM MobiCom, de 2015

   Bib

   @inproceedings{singh.s.madhyastha.h.ea:flexiweb--network-aware-compaction-for-accelerating-mobile-web-transfers,
     author = {Singh, S. and Madhyastha, H. and Krishnamurthy, S. and Govindan, R.},
     title = {{FlexiWeb: Network-Aware Compaction for Accelerating
     		  Mobile Web Transfers}},
     booktitle = {Proc. ACM MobiCom},
     year = {2015},
     topics = {mobile},
     address = {Paris, France}
   }

10. CoNEXT

    Magus: Minimizing Cellular Service Disruption during Planned Upgrades

    Xing Xu, Ioannis Broustis, Zihui Ge, and 4 more authors

    In ACM International Conference on emerging Networking Experiments and Technologies (CoNEXT) , de 2015

    Bib

    @inproceedings{xu.x.broustis.i.ea:magus--minimizing-cellular-service-disruption-during-planned-upgrades,
      author = {Xu, Xing and Broustis, Ioannis and Ge, Zihui and Govindan, Ramesh and Mahimkar, Ajay and Shankaranarayanan, N. K. and Wang, Jia},
      title = { {Magus: Minimizing Cellular Service Disruption during
      		  Planned Upgrades} },
      booktitle = { ACM International Conference on emerging Networking
      		  Experiments and Technologies (CoNEXT) },
      month =  de,
      topics = {measure},
      location = { Heidelberg, Germany },
      year = {2015},
      projects = { }
    }

11. video

    Investigating Transparent Web Proxies in Cellular Networks

    Xing Xu, Yurong Jiang, Tobias Flach, and 3 more authors

    In Proc. Passive and Active Measurement Conference, de 2015

    Bib

    @inproceedings{xu.x.jiang.y.ea:investigating-transparent-web-proxies-in-cellular-networks,
      author = {Xu, Xing and Jiang, Yurong and Flach, Tobias and Katz-Bassett, Ethan and Choffnes, Dave and Govindan, Ramesh},
      title = {{Investigating Transparent Web Proxies in Cellular
      		  Networks}},
      booktitle = {Proc. Passive and Active Measurement Conference},
      year = {2015}
    }

2014

1. ToN

   A Distortion-Resistant Routing Framework for Video Traffic in Wireless Multihop Networks

   George Papageorgiu, Shailendra Singh, Srikanth Krishnamurthy, and 2 more authors

   IEEE/ACM Transactions on Networking, de 2014

   Bib

   @article{papageorgiu.g.singh.s.ea:a-distortion-resistant-routing-framework-for-video-traffic-in-wireless-multihop-networks,
     author = {Papageorgiu, George and Singh, Shailendra and Krishnamurthy, Srikanth and Govindan, Ramesh and Porta, Tom La},
     title = {{A Distortion-Resistant Routing Framework for Video
     		  Traffic in Wireless Multihop Networks}},
     journal = {{IEEE/ACM Transactions on Networking}},
     year = {2014}
   }

2. Data Extrapolation in Social Sensing for Disaster Response

   Siyu Gu, Chenji Pan, Hengchang Liu, and 13 more authors

   In Proc. IEEE International Conference on Distributed Sensor Systems, de 2014

   Bib

   @inproceedings{gu.s.pan.c.ea:data-extrapolation-in-social-sensing-for-disaster-response,
     author = {Gu, Siyu and Pan, Chenji and Liu, Hengchang and Li, Shen and Hu, Shaohan and Su, Lu and Wang, Shiguang and Wang, Dong and Amin, Md Tanvir A and Govindan, Ramesh and Aggarwal, Charu and Ganti, Raghu and Srivatsa, Mudhakar and Bar-Noy, Amotz and Terlecky, Peter and Abdelzaher, Tarek},
     title = {{Data Extrapolation in Social Sensing for Disaster
     		  Response}},
     booktitle = {Proc. IEEE International Conference on Distributed Sensor
     		  Systems},
     year = {2014},
     address = {Marina Del Rey, CA}
   }

3. MobiSys

   PUMA: Programmable UI-Automation for Large-Scale Dynamic Analysis of Mobile Apps

   Shuai Hao, Bin Liu, Suman Nath, and 2 more authors

   In Proceedings of the 12th International Conference on Mobile Systems, Applications, and Services (MobiSys’14) , ju 2014

   Bib

   @inproceedings{hao.s.liu.b.ea:puma--programmable-ui-automation-for-large-scale-dynamic-analysis-of-mobile-apps,
     author = {Hao, Shuai and Liu, Bin and Nath, Suman and Halfond, William G.J. and Govindan, Ramesh},
     title = { {PUMA: Programmable UI-Automation for Large-Scale Dynamic
     		  Analysis of Mobile Apps} },
     booktitle = { Proceedings of the 12th International Conference on
     		  Mobile Systems, Applications, and Services (MobiSys'14) },
     month =  ju,
     location = { Bretton Woods, NH. },
     year = {2014},
     projects = { PUMA },
     		  }
   }

4. SenSys

   CarLog: A Platform for Flexible and Efficient Automotive Sensing

   Yurong Jiang, Hang Qiu, Matthew McCartney, and 4 more authors

   In Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys’14) , no 2014

   Bib

   @inproceedings{jiang.y.qiu.h.ea:carlog--a-platform-for-flexible-and-efficient-automotive-sensing,
     author = {Jiang, Yurong and Qiu, Hang and McCartney, Matthew and Halfond, William G. J. and Bai, Fan and Grimm, Donald and Govindan, Ramesh},
     title = { {CarLog: A Platform for Flexible and Efficient Automotive
     		  Sensing} },
     booktitle = { Proceedings of the 12th ACM Conference on Embedded
     		  Networked Sensor Systems (SenSys'14) },
     month =  no,
     location = { Memphis, TN, USA },
     year = {2014},
     projects = { CarLog },
     		  http://nsl.cs.usc.edu/Papers/BibFile?action=download&upname=jyrCarlog14
     		  }
   }

5. Peer-Assisted Timely Report Delivery in Social Swarming Applications

   Bin Liu, Peter Terlecky, Xing Xu, and 3 more authors

   IEEE Transactions on Wireless, no 2014

   Bib

   @article{liu.b.terlecky.p.ea:peer-assisted-timely-report-delivery-in-social-swarming-applications,
     author = {Liu, Bin and Terlecky, Peter and Xu, Xing and Bar-Noy, Amotz and Govindan, Ramesh and Rawitz, Dror},
     title = {{Peer-Assisted Timely Report Delivery in Social Swarming
     		  Applications}},
     journal = {{IEEE Transactions on Wireless}},
     year = {2014}
   }

6. NSDI

   DECAF: Detecting and Characterizing Ad Fraud in Mobile Apps

   Bin Liu, Suman Nath, Ramesh Govindan, and 1 more author

   In Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation (NSDI’14) , ap 2014

   Bib

   @inproceedings{liu.b.nath.s.ea:decaf--detecting-and-characterizing-ad-fraud-in-mobile-apps,
     author = {Liu, Bin and Nath, Suman and Govindan, Ramesh and Liu, Jie},
     title = { {DECAF: Detecting and Characterizing Ad Fraud in Mobile
     		  Apps} },
     booktitle = { Proceedings of the 11th USENIX Symposium on Networked
     		  Systems Design and Implementation (NSDI'14) },
     month =  ap,
     location = { Seattle, Washington },
     year = {2014}
   }

7. TOSN

   PDVLoc: a Personal Data Vault for Controlled Location Data Sharing

   Min Y. Mun and Donnie H. Kim and Katie Shilton and Deborah Estrin and Mark Hansen and Ramesh Govindan

   ACM Transactions on Sensor Networks, ap 2014

   to appear

   Bib

   @article{min-y--mun-and-donnie-h--kim-and-katie-shilton-and-deborah-estrin-and-mark-hansen-and-ramesh-govindan:pdvloc--a-personal-data-vault-for-controlled-location-data-sharing,
     author = {{Min Y. Mun and Donnie H. Kim and Katie Shilton and
     		  Deborah Estrin and Mark Hansen and Ramesh Govindan}},
     title = {{PDVLoc: a Personal Data Vault for Controlled Location
     		  Data Sharing}},
     journal = {ACM Transactions on Sensor Networks},
     year = {2014},
     note = {to appear}
   }

8. SIGCOMM

   DREAM: Dynamic Resource Allocation for Software-defined Measurement

   Masoud Moshref, Minlan Yu, Ramesh Govindan, and 1 more author

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’14) , au 2014

   Bib

   @inproceedings{moshref.m.yu.m.ea:dream--dynamic-resource-allocation-for-software-defined-measurement,
     author = {Moshref, Masoud and Yu, Minlan and Govindan, Ramesh and Vahdat, Amin},
     title = { {DREAM: Dynamic Resource Allocation for Software-defined
     		  Measurement} },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '14) },
     month =  au,
     location = { Chicago, IL. },
     year = {2014},
     projects = { Software-definedMeasurement },
     		  }
   }

9. Flow-level State Transition as a New Switch Primitive for SDN

   Masoud Moshref, Apoorv Bhargava, Adhip Gupta, and 2 more authors

   In Proceedings of the ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN’14) , au 2014

   Bib

   @inproceedings{moshref.m.bhargava.a.ea:flow-level-state-transition-as-a-new-switch-primitive-for-sdn,
     author = {Moshref, Masoud and Bhargava, Apoorv and Gupta, Adhip and Yu, Minlan and Govindan, Ramesh},
     title = { {Flow-level State Transition as a New Switch Primitive
     		  for SDN} },
     booktitle = { Proceedings of the ACM SIGCOMM Workshop on Hot Topics in
     		  Software Defined Networking (HotSDN'14) },
     month =  au,
     location = { Chicago, IL. },
     year = {2014},
     projects = { IntegratingSDNAndMiddleboxes },
     		  }
   }

10. ToN

    Forensic Analysis of Packet Losses in Wireless Networks

    Jianxia Ning, Shailendra Singh, Konstantinos Pelechrinis, and 3 more authors

    IEEE/ACM Transactions on Networking, au 2014

    Bib

    @article{ning.j.singh.s.ea:forensic-analysis-of-packet-losses-in-wireless-networks,
      author = {Ning, Jianxia and Singh, Shailendra and Pelechrinis, Konstantinos and Liu, Bin and Krishnamurthy, Srikanth V. and Govindan, Ramesh},
      title = {{Forensic Analysis of Packet Losses in Wireless
      		  Networks}},
      journal = {{IEEE/ACM Transactions on Networking}},
      year = {2014}
    }

11. The Information Funnel: Exploiting Named Data for Information-maximizing Data Collection

    Shiguang Wang, Tarek Abdelzaher, Santhosh Gajendran, and 11 more authors

    In Proc. IEEE International Conference on Distributed Sensor Systems, au 2014

    Bib

    @inproceedings{wang.s.abdelzaher.t.ea:the-information-funnel--exploiting-named-data-for-information-maximizing-data-collection,
      author = {Wang, Shiguang and Abdelzaher, Tarek and Gajendran, Santhosh and Herga, Ajith and Kulkarni, Sachin and Li, Shen and Liu, Hengchang and Suresh, Chethan and Sreenath, Abhishek and Wang, Hongwei and Dron, William and Leung, Alice and Govindan, Ramesh and Hancock, John},
      title = {{The Information Funnel: Exploiting Named Data for
      		  Information-maximizing Data Collection}},
      booktitle = {Proc. IEEE International Conference on Distributed Sensor
      		  Systems},
      year = {2014},
      address = {Marina Del Rey, CA}
    }

12. video

    Diagnosing Path Inflation of Mobile Client Traffic

    Kyriakos Zarifis, Tobias Flach, Srikanth Nori, and 5 more authors

    In Passive and Active Measurement Conference (PAM ’14) , ma 2014

    Bib

    @inproceedings{zarifis.k.flach.t.ea:diagnosing-path-inflation-of-mobile-client-traffic,
      author = {Zarifis, Kyriakos and Flach, Tobias and Nori, Srikanth and Choffnes, David and Govindan, Ramesh and Katz-Bassett, Ethan and Mao, Z. Morley and Welsh, Matt},
      title = { {Diagnosing Path Inflation of Mobile Client Traffic} },
      booktitle = { Passive and Active Measurement Conference (PAM '14) },
      year = {2014},
      month =  ma,
      location = { Los Angeles, CA },
      		  },
      ppturl = {
      		  },
      projects = { MobilePathInflation }
    }

2013

1. IMC

   Mapping the Expansion of Google’s Serving Infrastructure

   M. Calder, X. Fan, Z. Hu, and 3 more authors

   In Proc. ACM Internet Measurement Conference, ma 2013

   Bib

   @inproceedings{calder.m.fan.x.ea:mapping-the-expansion-of-googles-serving-infrastructure,
     author = {Calder, M. and Fan, X. and Hu, Z. and Katz-Bassett, E. and Heidemann, J. and Govindan, R.},
     title = {{Mapping the Expansion of Google’s Serving
     		  Infrastructure}},
     booktitle = {Proc. ACM Internet Measurement Conference},
     year = {2013},
   }

2. A New March Test for Process-Variation Induced Delay Faults in SRAMs

   D. Cheng, H. Hsiung, B. Liu, and 4 more authors

   In IEEE Asian Test Symposium, ma 2013

   Bib

   @inproceedings{cheng.d.hsiung.h.ea:a-new-march-test-for-process-variation-induced-delay-faults-in-srams,
     author = {Cheng, D. and Hsiung, H. and Liu, B. and Chen, J. and Zeng, J. and Govindan, R. and Gupta, S.},
     title = {{A New March Test for Process-Variation Induced Delay
     		  Faults in SRAMs}},
     booktitle = {IEEE Asian Test Symposium},
     year = {2013}
   }

3. INFOCOM

   Evaluating Anycast in the Domain Name System

   Xun Fan, John Heidemann, and Ramesh Govindan

   In Proc. of the IEEE Infocom, ma 2013

   Bib

   @inproceedings{fan.x.heidemann.j.ea:evaluating-anycast-in-the-domain-name-system,
     author = {Fan, Xun and Heidemann, John and Govindan, Ramesh},
     title = {{Evaluating Anycast in the Domain Name System}},
     booktitle = {Proc. of the IEEE Infocom},
     year = {2013}
   }

4. INFOCOM

   Trading Off Distortion for Delay for Video Transmissions in Wireless Networks

   Zi Feng, George Papageorgiu, Srikanth Krishnamurthy, and 2 more authors

   In Proc. of the IEEE Infocom, ma 2013

   Bib

   @inproceedings{feng.z.papageorgiu.g.ea:trading-off-distortion-for-delay-for-video-transmissions-in-wireless-networks,
     author = {Feng, Zi and Papageorgiu, George and Krishnamurthy, Srikanth and Govindan, Ramesh and Porta, Tom La},
     title = {{Trading Off Distortion for Delay for Video Transmissions
     		  in Wireless Networks}},
     booktitle = {Proc. of the IEEE Infocom},
     year = {2013}
   }

5. SIGCOMM

   Reducing Web Latency: the Virtue of Gentle Aggression

   Tobias Flach, Nandita Dukkipati, Andreas Terzis, and 7 more authors

   In Proceedings of the ACM Conference of the Special Interest Group on Data Communication (SIGCOMM ’13) , au 2013

   Bib

   @inproceedings{flach.t.dukkipati.n.ea:reducing-web-latency--the-virtue-of-gentle-aggression,
     author = {Flach, Tobias and Dukkipati, Nandita and Terzis, Andreas and Raghavan, Barath and Cardwell, Neal and Cheng, Yuchung and Jain, Ankur and Hao, Shuai and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {Reducing Web Latency: the Virtue of Gentle Aggression}
     		  },
     booktitle = { Proceedings of the ACM Conference of the Special Interest
     		  Group on Data Communication (SIGCOMM '13) },
     month =  au,
     year = {2013},
     		  },
     projects = { Recovery }
   }

6. ICSE

   Estimating Mobile Application Energy Consumption Using Program Analysis

   Shuai Hao, Ding Li, William G.J. Halfond, and 1 more author

   In 35th International Conference on Software Engineering (ICSE 2013) , ma 2013

   Abs Bib

   Optimizing the energy efficiency of mobile applications can greatly increase user satisfaction. However, developers lack viable techniques for estimating the energy consumption of their applications. This project proposes a new approach that is both lightweight in terms of its developer requirements and provides fine-grained estimates of energy consumption at the code level. It achieves this using a novel combination of program analysis and per-instruction energy modeling. In evaluation, our approach is able to estimate energy consumption to within 10% of the ground truth for a set of mobile applications from the Google Play store. Additionally, it provides useful and meaningful feedback to developers that helps them to understand application energy consumption behavior.

   @inproceedings{hao.s.li.d.ea:estimating-mobile-application-energy-consumption-using-program-analysis,
     author = {Hao, Shuai and Li, Ding and Halfond, William G.J. and Govindan, Ramesh},
     title = { {Estimating Mobile Application Energy Consumption Using
     		  Program Analysis} },
     booktitle = { 35th International Conference on Software Engineering
     		  (ICSE 2013) },
     month =  ma,
     year = {2013},
     		  },
     projects = { ELens }
   }

7. MobiSys

   SIF: A Selective Instrumentation Framework for Mobile Applications

   Shuai Hao, Ding Li, William G.J. Halfond, and 1 more author

   In Proceedings of the 11th International Conference on Mobile Systems, Applications, and Services (MobiSys’13) , ju 2013

   Bib

   @inproceedings{hao.s.li.d.ea:sif--a-selective-instrumentation-framework-for-mobile-applications,
     author = {Hao, Shuai and Li, Ding and Halfond, William G.J. and Govindan, Ramesh},
     title = { {SIF: A Selective Instrumentation Framework for Mobile
     		  Applications} },
     booktitle = { Proceedings of the 11th International Conference on
     		  Mobile Systems, Applications, and Services (MobiSys'13) },
     month =  ju,
     year = {2013},
     		  }
   }

8. Interplay of Failure Rate, Perfromance, and Test Cost in TCAM under Process Variations

   H. Hsiung, D. Cheng, B. Liu, and 2 more authors

   In IEEE Asian Test Symposium, ju 2013

   Bib

   @inproceedings{hsiung.h.cheng.d.ea:interplay-of-failure-rate--perfromance--and-test-cost-in-tcam-under-process-variations,
     title = {{Interplay of Failure Rate, Perfromance, and Test Cost in
     		  TCAM under Process Variations}},
     author = {Hsiung, H. and Cheng, D. and Liu, B. and Govindan, R. and Gupta, S.},
     booktitle = {IEEE Asian Test Symposium},
     year = {2013}
   }

9. ipsn

   MediaScope: Selective On-Demand Media Retrieval from Mobile Devices

   Yurong Jiang, Xing Xu, Peter Terlecky, and 3 more authors

   In Proceedings of the 12nd ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN’13) , ap 2013

   Abs Bib

   to be updated

   @inproceedings{jiang.y.xu.x.ea:mediascope--selective-on-demand-media-retrieval-from-mobile-devices,
     author = {Jiang, Yurong and Xu, Xing and Terlecky, Peter and Abdelzaher, Tarek and Bar-Noy, Amotz and Govindan, Ramesh},
     title = { {MediaScope: Selective On-Demand Media Retrieval from
     		  Mobile Devices} },
     booktitle = { Proceedings of the 12nd ACM/IEEE Conference on
     		  Information Processing in Sensor Networks (IPSN'13) },
     month =  ap,
     year = {2013},
     note = { },
     		  },
     projects = { MediaScope }
   }

10. ISSTA

    Calculating Source Line Level Energy Information for Android Applications

    Ding Li, Shuai Hao, William G.J. Halfond, and 1 more author

    In Proceedings of the International Symposium in Software Testing and Analysis (ISSTA 2013) , ju 2013

    Abs Bib

    The popularity of mobile apps continues to grow as developers take advantage of the sensors and data available on mobile devices. However, the increasedfunctionality comes with a higher energy cost, which can cause a problem for users on battery constrained mobile devices. To improve the energy consumption of mobile apps, developers need detailed information about the energy consumption of their applications. Existing techniques have drawbacks that limit their usefulness or provide information at too high of a level of granularity, such as components or methods. Our approach is able to calculate source line level energy consumption information. It does this by combining hardware-based power measurements with program analysis and statistical modeling. Our empirical evaluation of the approach shows that it is fast and accurate.

    @inproceedings{li.d.hao.s.ea:calculating-source-line-level-energy-information-for-android-applications,
      author = {Li, Ding and Hao, Shuai and Halfond, William G.J. and Govindan, Ramesh},
      title = { {Calculating Source Line Level Energy Information for
      		  Android Applications} },
      booktitle = { Proceedings of the International Symposium in Software
      		  Testing and Analysis (ISSTA 2013) },
      month =  ju,
      year = {2013},
      		  },
      projects = { ELens }
    }

11. HotNets

    AdReveal: Improving Transparency Into Online Targeted Advertising

    B. Liu, A. Sheth, J. Chandrasekhar, and 2 more authors

    In Proc. ACM Hotnets, ju 2013

    Bib

    @inproceedings{liu.b.sheth.a.ea:adreveal--improving-transparency-into-online-targeted-advertising,
      author = {Liu, B. and Sheth, A. and Chandrasekhar, J. and Weinberg, U. and Govindan, R.},
      title = {{AdReveal: Improving Transparency Into Online Targeted
      		  Advertising}},
      booktitle = {Proc. ACM Hotnets},
      year = {2013}
    }

12. NSDI

    VCRIB: Virtualized rule management in the cloud

    Masoud Moshref, Minlan Yu, Abhishek Sharma, and 1 more author

    In Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI’13) , ap 2013

    Abs Bib

    to be updated

    @inproceedings{moshref.m.yu.m.ea:vcrib--virtualized-rule-management-in-the-cloud,
      author = {Moshref, Masoud and Yu, Minlan and Sharma, Abhishek and Govindan, Ramesh},
      title = {{VCRIB: Virtualized rule management in the cloud}},
      booktitle = { Proceedings of the 10th USENIX Symposium on Networked
      		  Systems Design and Implementation (NSDI'13) },
      year = {2013},
      month =  ap,
      		  },
      projects = { VCRIB }
    }

13. Resource/Accuracy Tradeoffs in Software-Defined Measurement

    Masoud Moshref, Minlan Yu, and Ramesh Govindan

    In Proceedings of the ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN 2013) , au 2013

    Bib

    @inproceedings{moshref.m.yu.m.ea:resourceaccuracy-tradeoffs-in-software-defined-measurement,
      author = {Moshref, Masoud and Yu, Minlan and Govindan, Ramesh},
      title = { {Resource/Accuracy Tradeoffs in Software-Defined
      		  Measurement} },
      booktitle = { Proceedings of the ACM SIGCOMM Workshop on Hot Topics in
      		  Software Defined Networking (HotSDN 2013) },
      month =  au,
      year = {2013},
      		  }
    }

14. CoNEXT

    Resource Thrifty Secure Mobile Video Transfers on Open WiFi Networks

    G. Papageorgiu, J. Gasparis, S. Krishnamurthy, and 2 more authors

    In Proc. ACM CoNEXT, Nov 2013

    Bib

    @inproceedings{papageorgiu.g.gasparis.j.ea:resource-thrifty-secure-mobile-video-transfers-on-open-wifi-networks,
      author = {Papageorgiu, G. and Gasparis, J. and Krishnamurthy, S. and Govindan, R. and Laporta, T.},
      title = {{Resource Thrifty Secure Mobile Video Transfers on Open
      		  WiFi Networks}},
      booktitle = {Proc. ACM CoNEXT},
      year = {2013},
      month = nov
    }

15. NSDI

    P3: Privacy-Preserving Photo Sharing

    Moo-Ryong Ra, Ramesh Govindan, and Antonio Ortega

    In Proceedings of the 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI’13) to appear , ap 2013

    Abs Bib

    to be updated

    @inproceedings{ra.m.govindan.r.ea:p3--privacy-preserving-photo-sharing,
      author = {Ra, Moo-Ryong and Govindan, Ramesh and Ortega, Antonio},
      title = { {P3: Privacy-Preserving Photo Sharing} },
      booktitle = { Proceedings of the 10th USENIX Symposium on Networked
      		  Systems Design and Implementation (NSDI'13) to appear },
      year = {2013},
      month =  ap,
      		  },
      projects = { VCRIB }
    }

16. An autonomous Wireless Networked Robotics System for backbone deployment in highly-obstructed environments

    Marcos A.M. Vieira, Ramesh Govindan, and Gaurav S. Sukhatme

    Ad Hoc Networks, ap 2013

    Theory, Algorithms and Applications of Wireless Networked Robotics Recent Advances in Vehicular Communications and Networking

    Bib Link

    @article{vieira.mam.govindan.r.ea:autonomous,
      title = {An autonomous Wireless Networked Robotics System for
      		  backbone deployment in highly-obstructed environments},
      journal = {Ad Hoc Networks},
      volume = {11},
      number = {7},
      pages = {1963 - 1974},
      year = {2013},
      note = {Theory, Algorithms and Applications of Wireless Networked
      		  Robotics Recent Advances in Vehicular Communications and
      		  Networking},
      issn = {1570-8705},
      doi = {http://dx.doi.org/10.1016/j.adhoc.2012.07.012},
      url = {http://www.sciencedirect.com/science/article/pii/S1570870512001473},
      author = {Vieira, Marcos A.M. and Govindan, Ramesh and Sukhatme, Gaurav S.},
      keywords = {Wireless Backbone Deployment}
    }

2012

1. IMC

   Quantifying Violations of Destination-based Forwarding in the Internet

   Tobias Flach, Ethan Katz-Bassett, and Ramesh Govindan

   In Proceedings of the ACM Internet Measurement Conference (IMC ’12) , no 2012

   Bib

   @inproceedings{flach.t.katz-bassett.e.ea:quantifying-violations-of-destination-based-forwarding-in-the-internet,
     author = {Flach, Tobias and Katz-Bassett, Ethan and Govindan, Ramesh},
     title = { {Quantifying Violations of Destination-based Forwarding
     		  in the Internet} },
     booktitle = { Proceedings of the ACM Internet Measurement Conference
     		  (IMC '12) },
     month =  no,
     year = {2012},
     		  }
   }

2. Estimating Android Applications’ CPU Energy Usage via Bytecode Profiling

   Shuai Hao, Ding Li, William G.J. Halfond, and 1 more author

   In First International Workshop on Green and Sustainable Software, in conjunction with the 34th International Conference on Software Engineering (ICSE) 2012 to appear , ju 2012

   Abs Bib

   Optimizing the energy efficiency of mobile applications can greatly increase user satisfaction. However, developers lack easily applied tools for estimating the energy consumption of their applications. This paper proposes a new approach, eCalc, that is lightweight in terms of its developer requirements and provides code-level estimates of energy consumption. The approach achieves this using estimation techniques based on program analysis of the mobile application. In evaluation, eCalc is able to estimate energy consumption within 9.5% of the ground truth for a set of mobile applications. Additionally, eCalc provides useful and meaningful feedback to the developer that helps to characterize energy consumption of the application.

     author = {Hao, Shuai and Li, Ding and Halfond, William G.J. and Govindan, Ramesh},
     title = { {Estimating Android Applications' CPU Energy Usage via
     booktitle = { First International Workshop on Green and Sustainable
     		  Software, in conjunction with the 34th International
     		  Conference on Software Engineering (ICSE) 2012 to appear },
     month =  ju,
     year = {2012},
     		  },
     projects = { eLens }
   }

3. SenSys

   Cloud-Enabled Privacy-Preserving Collaborative Learning for Mobile Sensing

   Bin Liu, Yurong Jiang, Fei Sha, and 1 more author

   In Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems (SenSys’12) to appear , no 2012

   Abs Bib

   to be updated

   @inproceedings{liu.b.jiang.y.ea:cloud-enabled-privacy-preserving-collaborative-learning-for-mobile-sensing,
     author = {Liu, Bin and Jiang, Yurong and Sha, Fei and Govindan, Ramesh},
     title = { {Cloud-Enabled Privacy-Preserving Collaborative Learning
     		  for Mobile Sensing} },
     booktitle = { Proceedings of the 10th ACM Conference on Embedded
     		  Networked Sensor Systems (SenSys'12) to appear },
     year = {2012},
     month =  no,
     		  },
     projects = { Pickle }
   }

4. Optimizing Information Credibility in Social Swarming Applications

   Bin Liu, Peter Terlecky, Amotz Bar-Noy, and 3 more authors

   IEEE Transactions on Parallel and Distributed Systems , no 2012

   Bib

   @article{liu.b.terlecky.p.ea:optimizing-information-credibility-in-social-swarming-applications,
     author = {Liu, Bin and Terlecky, Peter and Bar-Noy, Amotz and Govindan, Ramesh and Neely, Michael J. and Rawitz, Dror},
     title = { {Optimizing Information Credibility in Social Swarming
     		  Applications} },
     journal = { IEEE Transactions on Parallel and Distributed Systems },
     volume = { 23 },
     issn = { 1045-9219 },
     year = {2012},
     pages = { 1147-1158 },
     publisher = { IEEE Computer Society },
     address = { Los Alamitos, CA, USA },
     		  }
   }

5. Timely Report Delivery in Social Swarming Applications

   Bin Liu, Peter Terlecky, Xing Xu, and 3 more authors

   In IEEE Conference on Distributed Computing in Sensor Systems (DCOSS) , no 2012

   Bib

   @inproceedings{liu.b.terlecky.p.ea:timely-report-delivery-in-social-swarming-applications,
     title = { {Timely Report Delivery in Social Swarming Applications}
     		  },
     author = {Liu, Bin and Terlecky, Peter and Xu, Xing and Bar-Noy, Amotz and Govindan, Ramesh and Rawitz, Dror},
     booktitle = { IEEE Conference on Distributed Computing in Sensor
     		  Systems (DCOSS) },
     pages = { 75--82 },
     year = {2012},
     		  }
   }

6. Towards Systematic Roadmaps for Networked Systems

   Bin Liu, Hsunwei Hsiung, Da Cheng, and 2 more authors

   In Proceedings of the 11th ACM Workshop on Hot Topics in Networks , oc 2012

   Bib

   @inproceedings{liu.b.hsiung.h.ea:towards-systematic-roadmaps-for-networked-systems,
     author = {Liu, Bin and Hsiung, Hsunwei and Cheng, Da and Govindan, Ramesh and Gupta, Sandeep},
     title = { {Towards Systematic Roadmaps for Networked Systems} },
     booktitle = { Proceedings of the 11th ACM Workshop on Hot Topics in
     		  Networks },
     year = {2012},
     month =  oc,
     		  }
   }

7. vCRIB: Virtual Cloud Rule Information Base

   Masoud Moshref, Minlan Yu, Abhishek Sharma, and 1 more author

   In Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing (HotClout’12) , ju 2012

   Abs Bib

   Cloud operators increasingly need many fine-grained rules to better control individual network flows for various management tasks. While previous approaches have advocated placing rules either on hypervisors or switches, we argue that future data centers would benefit from leveraging rule processing capabilities at both for better scalability and performance. In this paper, we propose vCRIB, a virtualized Cloud Rule Information Base that allows operators to freely define different management policies without the need to consider underlying resource constraints. The challenge in our approach is the design of a vCRIB manager that automatically partitions and places rules at both hypervisors and switches to achieve a good trade-off between resource usage and performance.

   @inproceedings{moshref.m.yu.m.ea:vcrib--virtual-cloud-rule-information-base,
     author = {Moshref, Masoud and Yu, Minlan and Sharma, Abhishek and Govindan, Ramesh},
     title = { {vCRIB: Virtual Cloud Rule Information Base} },
     booktitle = { Proceedings of the 4th USENIX Workshop on Hot Topics in
     		  Cloud Computing (HotClout'12) },
     year = {2012},
     month =  ju,
     		  },
     projects = { VCRIB }
   }

8. Forensic Analysis of Packet Losses in Wireless Networks

   Jianxia Ning, Shailendra Singh, Konstantinos Pelechrinis, and 3 more authors

   In Proc. of IEEE ICNP, ju 2012

   Bib

   @inproceedings{ning.j.singh.s.ea:forensic-analysis-of-packet-losses-in-wireless-networks*1,
     author = {Ning, Jianxia and Singh, Shailendra and Pelechrinis, Konstantinos and Liu, Bin and Krishnamurthy, Srikanth V. and Govindan, Ramesh},
     title = {{Forensic Analysis of Packet Losses in Wireless
     		  Networks}},
     booktitle = {Proc. of IEEE ICNP},
     year = {2012}
   }

9. Distortion-Resilient Routing for Video Flows in Wireless Multi-hop Networks

   George Papageorgiou, Shailendra Singh, Srikanth V. Krishnamurthy, and 2 more authors

   In Proc. of IEEE ICNP, ju 2012

   Bib

   @inproceedings{papageorgiou.g.singh.s.ea:distortion-resilient-routing-for-video-flows-in-wireless-multi-hop-networks,
     author = {Papageorgiou, George and Singh, Shailendra and Krishnamurthy, Srikanth V. and Govindan, Ramesh and Porta, Tom La},
     title = {{Distortion-Resilient Routing for Video Flows in Wireless
     		  Multi-hop Networks}},
     booktitle = {Proc. of IEEE ICNP},
     year = {2012}
   }

10. MobiSys

    Medusa: A Programming Framework for Crowd-Sensing Applications

    Moo-Ryong Ra, Bin Liu, Tom La Porta, and 1 more author

    In Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services (MobiSys’12) , ju 2012

    Abs Bib

    The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-sensing, a capability which harnessesthe power of crowds to collect sensor data from alarge number of mobile phone users. Unlike previous workon wireless sensing, crowd-sensing poses several novel requirements:support for humans-in-the-loop to trigger sensingactions or review results, the need for incentives, as wellas privacy and security. In this paper, we design and implementMedusa, a novel programming framework for crowdsensing that satisfies these requirements. Medusa provideshigh-level abstractions for specifying the steps required tocomplete a crowd-sensing task, and employs a distributedruntime system that coordinates the execution of these tasksbetween smartphones and a cluster on the cloud. We haveimplemented ten crowd-sensing tasks on a prototype of Medusa.We find that Medusa task descriptions are two orders of magnitudesmaller than standalone systems required to implementthose crowd-sensing tasks, and the runtime has lowoverhead and is robust to dynamics and resource attacks.

    @inproceedings{ra.m.liu.b.ea:medusa--a-programming-framework-for-crowd-sensing-applications,
      author = {Ra, Moo-Ryong and Liu, Bin and Porta, Tom La and Govindan, Ramesh},
      title = { {Medusa: A Programming Framework for Crowd-Sensing
      		  Applications} },
      booktitle = { Proceedings of the 10th International Conference on
      		  Mobile Systems, Applications, and Services (MobiSys'12) },
      year = {2012},
      month =  ju,
      		  },
      projects = { Medusa }
    }