Lightweight Resource Scaling for Cloud Applications R Han, L Guo, MM Ghanem, Y Guo Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International …, 2012 | 321 | 2012 |
Enabling cost-aware and adaptive elasticity of multi-tier cloud applications R Han, MM Ghanem, L Guo, Y Guo, M Osmond Future Generation Computer Systems, 2014 | 241 | 2014 |
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning S He, L Guo, Y Guo, C Wu, M Ghanem, R Han 2012 26th IEEE International Conference on Advanced Information Networking …, 2012 | 151 | 2012 |
Bdgs: A scalable big data generator suite in big data benchmarking Z Ming, C Luo, W Gao, R Han, Q Yang, L Wang, J Zhan Advancing Big Data Benchmarks: Proceedings of the 2013 Workshop Series on …, 2014 | 125 | 2014 |
Characterizing and subsetting big data workloads Z Jia, J Zhan, L Wang, R Han, SA McKee, Q Yang, C Luo, J Li 2014 IEEE International Symposium on Workload Characterization (IISWC), 191-201, 2014 | 94 | 2014 |
Latency critical big data computing in finance X Tian, R Han, L Wang, G Lu, J Zhan The Journal of Finance and Data Science 1 (1), 33-41, 2015 | 93 | 2015 |
Benchmarking big data systems: A review R Han, LK John, J Zhan IEEE Transactions on Services Computing 11 (3), 580-597, 2017 | 91 | 2017 |
On big data benchmarking R Han, X Lu, J Xu Workshop on Big Data Benchmarks, Performance Optimization, and Emerging …, 2014 | 62 | 2014 |
Understanding big data analytics workloads on modern processors Z Jia, J Zhan, L Wang, C Luo, W Gao, Y Jin, R Han, L Zhang IEEE Transactions on Parallel and Distributed Systems 28 (6), 1797-1810, 2016 | 34 | 2016 |
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning JT Z. Dai, C. H. Liu, Y. Ye, Rui Han, Y. Yuan, G. Wang IEEE INFOCOM 2022, 2022 | 32* | 2022 |
Delay-sensitive energy-efficient UAV crowdsensing by deep reinforcement learning Z Dai, CH Liu, R Han, G Wang, KK Leung, J Tang IEEE Transactions on Mobile Computing 22 (4), 2038-2052, 2021 | 32 | 2021 |
Legodnn: block-grained scaling of deep neural networks for mobile vision R Han, Q Zhang, CH Liu, G Wang, J Tang, LY Chen Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 31 | 2021 |
Programming Directives for Elastic Computing S Dustdar, Y Guo, R Han, B Satzger, HL Truong Internet Computing, IEEE 16 (6), 72-77, 2012 | 31 | 2012 |
Accelerating gossip-based deep learning in heterogeneous edge computing platforms R Han, S Li, X Wang, CH Liu, G Xin, LY Chen IEEE Transactions on Parallel and Distributed Systems 32 (7), 1591-1602, 2020 | 28 | 2020 |
A Deployment Platform for Dynamically Scaling Applications in the Cloud R Han, L Guo, Y Guo, S He Cloud Computing Technology and Science (CloudCom), 2011 IEEE Third …, 2011 | 28 | 2011 |
Benchmarking big data systems: State-of-the-art and future directions R Han, Z Jia, W Gao, X Tian, L Wang arXiv preprint arXiv:1506.01494, 2015 | 26 | 2015 |
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA X Yang, R Han, Y Guo, J Bradley, B Cox, R Dickinson, R Kitney | 26* | |
BigDataBench: An Open-source Big Data Benchmark Suite J Zhan, W Gao, L Wang, J Li, K Wei, C Luo, R Han, X Tian, C Yu Chinese Journal of Computers 39 (1), 196-211, 2016 | 24* | 2016 |
Workload-adaptive configuration tuning for hierarchical cloud schedulers R Han, CH Liu, Z Zong, LY Chen, W Liu, S Wang, J Zhan IEEE Transactions on Parallel and Distributed Systems 30 (12), 2879-2895, 2019 | 23 | 2019 |
Mobile crowdsensing for data freshness: A deep reinforcement learning approach Z Dai, H Wang, CH Liu, R Han, J Tang, G Wang IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 22 | 2021 |