Rui Han
Rui Han
Associate Professor, Beijing Institute of Technology
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Benchmarking big data systems: A review
R Han, LK John, J Zhan
IEEE Transactions on Services Computing 11 (3), 580-597, 2017
On big data benchmarking
R Han, X Lu, J Xu
Workshop on Big Data Benchmarks, Performance Optimization, and Emerging …, 2014
Programming Directives for Elastic Computing
S Dustdar, Y Guo, R Han, B Satzger, HL Truong
Internet Computing, IEEE 16 (6), 72-77, 2012
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
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
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
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
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
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
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
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
SaaS enabled admission control for MCMC simulation in cloud computing infrastructures
JL Vázquez-Poletti, R Moreno-Vozmediano, R Han, W Wang, IM Llorente
Computer Physics Communications 211, 88-97, 2017
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
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
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