ParaDrop: Enabling lightweight multi-tenancy at the network’s extreme edge P Liu, D Willis, S Banerjee Edge Computing (SEC), IEEE/ACM Symposium on, 1-13, 2016 | 176 | 2016 |
EdgeEye: An edge service framework for real-time intelligent video analytics P Liu, B Qi, S Banerjee Proceedings of the 1st International Workshop on Edge Systems, Analytics and …, 2018 | 117 | 2018 |
DrivAid: Augmenting driving analytics with multi-modal information B Qi, P Liu, T Ji, W Zhao, S Banerjee 2018 IEEE Vehicular Networking Conference (VNC), 1-8, 2018 | 36 | 2018 |
Low-cost video transcoding at the wireless edge J Yoon, P Liu, S Banerjee 2016 IEEE/ACM Symposium on Edge Computing (SEC), 129-141, 2016 | 24 | 2016 |
Greening the Video Transcoding Service with Low-Cost Hardware Transcoders P Liu, J Yoon, L Johnson, S Banerjee USENIX Annual Technical Conference, 407-419, 2016 | 19 | 2016 |
Lightweight multitenancy at the network’s extreme edge P Liu, L Hartung, S Banerjee Computer 50 (10), 50-57, 2017 | 8 | 2017 |
ParaDrop: An Edge Computing Platform in Home Gateways S BANERJEE, P LIU, A PATRO, D WILLIS Fog for 5G and IoT, 13, 2017 | 8* | 2017 |
VideoCoreCluster: Energy‐Efficient, Low‐Cost, and Hardware‐Assisted Video Transcoding System P Liu, J Yoon, HR Kim, S Banerjee Wireless Communications and Mobile Computing 2018 (1), 7470234, 2018 | 5 | 2018 |
Edge computing in the extreme for sustainability S Banerjee, N Klingensmith, P Liu, A Sridhar Communication Systems and Networks: 9th International Conference, COMSNETS …, 2017 | 4 | 2017 |
Apparatus for Bandwidth Efficient Video Communication Using Machine Learning Identified Objects Of Interest S Banerjee, P Liu, V Chandrasekaran US Patent App. 16/928,690, 2022 | 3 | 2022 |
PI in the sky J Yoon, P Liu, S Banerjee, SH Kim Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, Systems …, 2016 | 3 | 2016 |
Enabling and Optimizing Services with Edge Computing P Liu The University of Wisconsin-Madison, 2019 | | 2019 |