Our work has considered a range of issues in mobile computing, from processing visual information on mobile devices, to reliably programming them, and leverage cloud and edge resources for applications.
SoCC
Scrooge: A Cost-Effective Deep Learning Inference System
Hu, Yitao, Ghosh, Rajrup, and Govindan, Ramesh
In SoCC ’21: ACM Symposium on Cloud Computing, Seattle, WA, USA, November
1 - 4, 2021 2021
@inproceedings{Hu2021b,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},abbr={SoCC},topics={sensing,mobile},biburl={https://dblp.org/rec/conf/cloud/HuGG21.bib}}
@inproceedings{Hu2021,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},abbr={IoTDI},topics={sensing,mobile},tppubtype={inproceedings}}
Middleware
Olympian: Scheduling GPU Usage in a Deep Neural Network Model Serving System
Hu, Yitao, Rallapalli, Swati, Ko, Bongjun, and Govindan, Ramesh
In Proceedings of the 19th International Middleware Conference 2018
@inproceedings{Hu:2018,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},abbr={Middleware},tppubtype={inproceedings}}
MobiSys
Gnome: A Practical Approach to NLOS Mitigation for GPS Positioning in Smartphones
Liu, Xiaochen, Nath, Suman, and Govindan, Ramesh
In Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services (Mobisys) 2018
@inproceedings{Liu18b,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},abbr={MobiSys},tppubtype={inproceedings}}
Ubicomp
ALPS: Accurate Landmark Positioning at City Scales
Hu, Yitao, Liu, Xiaochen, Nath, Suman, and Govindan, Ramesh
In the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) se 2016
@inproceedings{Yitao16a,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) },month=se,location={ Heidelberg, Germany },year={2016},abbr={Ubicomp},topics={mobile},pdfurl={ https://nsl.cs.usc.edu/Papers?action=download&upname=Yitao16a.pdf }}
MobiSys
Efficient Privilege De-Escalation for Ad Libraries in Mobile Apps
Liu, Bin, Liu, Bin, Jin, Hongxia, and Govindan, Ramesh
In The 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys 2015) ma 2015
@inproceedings{Liu15a,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 },abbr={MobiSys},topics={mobile},year={2015},projects={ }}
MobiSys
FlexiWeb: Network-Aware Compaction for Accelerating
Mobile Web Transfers
Singh, S., Madhyastha, H., Krishnamurthy, S., and Govindan, R.
@inproceedings{Singh15a,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},abbr={MobiSys},year={2015},topics={mobile},address={Paris, France}}