Spremljaj
Rui Han
Rui Han
Associate Professor, Beijing Institute of Technology
Preverjeni e-poštni naslov na bit.edu.cn - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
3322012
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
2352014
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
1502012
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
1262014
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
992015
Benchmarking big data systems: A review
R Han, LK John, J Zhan
IEEE Transactions on Services Computing 11 (3), 580-597, 2017
982017
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
972014
On big data benchmarking
R Han, X Lu, J Xu
Workshop on Big Data Benchmarks, Performance Optimization, and Emerging …, 2014
602014
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
582021
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
53*2022
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
472021
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
382021
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
352016
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
342020
Programming Directives for Elastic Computing
S Dustdar, Y Guo, R Han, B Satzger, HL Truong
Internet Computing, IEEE 16 (6), 72-77, 2012
302012
EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources
LYC R. Han, S. Wen, C. H. Liu, Y. Yuan, G. Wang
IEEE INFOCOM 2022, 2022
29*2022
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
292011
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
262015
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
25*
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
242019
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