| VCONF: a reinforcement learning approach to virtual machines auto-configuration J Rao, X Bu, CZ Xu, L Wang, G Yin Proceedings of the 6th international conference on Autonomic computing, 137-146, 2009 | 379 | 2009 |
| URL: A unified reinforcement learning approach for autonomic cloud management CZ Xu, J Rao, X Bu Journal of Parallel and Distributed Computing 72 (2), 95-105, 2012 | 214 | 2012 |
| ishuffle: Improving hadoop performance with shuffle-on-write Y Guo, J Rao, D Cheng, X Zhou IEEE transactions on parallel and distributed systems 28 (6), 1649-1662, 2016 | 193 | 2016 |
| Interference and locality-aware task scheduling for MapReduce applications in virtual clusters X Bu, J Rao, C Xu Proceedings of the 22nd international symposium on High-performance parallel …, 2013 | 170 | 2013 |
| Optimizing virtual machine scheduling in NUMA multicore systems J Rao, K Wang, X Zhou, CZ Xu 2013 IEEE 19th International Symposium on High Performance Computer …, 2013 | 137 | 2013 |
| A reinforcement learning approach to online web systems auto-configuration X Bu, J Rao, CZ Xu Distributed Computing Systems, 2009. ICDCS'09. 29th IEEE International …, 2009 | 131 | 2009 |
| An analysis and empirical study of container networks K Suo, Y Zhao, W Chen, J Rao IEEE INFOCOM 2018-IEEE Conference On Computer Communications, 189-197, 2018 | 117 | 2018 |
| Coordinated self-configuration of virtual machines and appliances using a model-free learning approach X Bu, J Rao, CZ Xu IEEE transactions on parallel and distributed systems 24 (4), 681-690, 2012 | 113 | 2012 |
| A distributed self-learning approach for elastic provisioning of virtualized cloud resources J Rao, X Bu, CZ Xu, K Wang Modeling, Analysis & Simulation of Computer and Telecommunication Systems …, 2011 | 111 | 2011 |
| QoS guarantees and service differentiation for dynamic cloud applications J Rao, Y Wei, J Gong, CZ Xu IEEE Transactions on Network and Service Management 10 (1), 43-55, 2012 | 105 | 2012 |
| Improving performance of heterogeneous mapreduce clusters with adaptive task tuning D Cheng, J Rao, Y Guo, C Jiang, X Zhou IEEE Transactions on Parallel and Distributed Systems 28 (3), 774-786, 2016 | 103 | 2016 |
| Improving mapreduce performance in heterogeneous environments with adaptive task tuning D Cheng, J Rao, Y Guo, X Zhou Proceedings of the 15th International Middleware Conference, 97-108, 2014 | 86 | 2014 |
| Resource and deadline-aware job scheduling in dynamic hadoop clusters D Cheng, J Rao, C Jiang, X Zhou 2015 IEEE International Parallel and Distributed Processing Symposium, 956-965, 2015 | 82 | 2015 |
| Preemptive, low latency datacenter scheduling via lightweight virtualization W Chen, J Rao, X Zhou 2017 USENIX Annual Technical Conference (USENIX ATC 17), 251-263, 2017 | 70 | 2017 |
| DynaQoS: model-free self-tuning fuzzy control of virtualized resources for QoS provisioning J Rao, Y Wei, J Gong, CZ Xu Quality of Service (IWQoS), 2011 IEEE 19th International Workshop on, 1-9, 2011 | 68 | 2011 |
| Container-based cloud platform for mobile computation offloading S Wu, C Niu, J Rao, H Jin, X Dai 2017 IEEE international parallel and distributed processing symposium (IPDPS …, 2017 | 55 | 2017 |
| Characterizing the performance of intel optane persistent memory: A close look at its on-dimm buffering L Xiang, X Zhao, J Rao, S Jiang, H Jiang Proceedings of the Seventeenth European Conference on Computer Systems, 488-505, 2022 | 54 | 2022 |
| Moving hadoop into the cloud with flexible slot management and speculative execution Y Guo, J Rao, C Jiang, X Zhou IEEE Transactions on Parallel and Distributed systems 28 (3), 798-812, 2016 | 52 | 2016 |
| eBase: A baseband unit cluster testbed to improve energy-efficiency for cloud radio access network Z Kong, J Gong, CZ Xu, K Wang, J Rao 2013 IEEE International Conference on Communications (ICC), 4222-4227, 2013 | 50 | 2013 |
| vScale: Automatic and efficient processor scaling for SMP virtual machines L Cheng, J Rao, FCM Lau Proceedings of the Eleventh European Conference on Computer Systems, 1-14, 2016 | 45 | 2016 |
