Trading-Off Computing and Cooling Energies by VM Migration in Data Centers-Reference-Cited by-同舟云学术

Trading-Off Computing and Cooling Energies by VM Migration in Data Centers

Published:2018-09-01 Issue:9 Volume:E101.D Page:2224-2234
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

SONG Ying¹,ZHAO Xia²,WANG Bo³,SUN Yuzhong⁴

Affiliation:

1. Computer School, Beijing Information Science & Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination

2. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University

3. Software Engineering College, Zhengzhou University of Light Industry

4. State Key Laboratory of Computer Architecture, Institute of Computing Technology, CAS

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/9/E101.D_2017EDP7329/_pdf

Reference36 articles.

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2. [2] Gartner Research, Top 10 Techniques to Improve Data Center Cooling Efficiency, June 2012.

3. [3] A. Faraz and T.N. Vijaykumar, “Joint optimization of idle and cooling power in data centers while maintaining response time,” ACM SIGARCH Computer Architecture News, vol.38, no.1, pp.243-256, 2010. 10.1145/1735970.1736048

4. [4] J. Xu and J. Fortes, “A Multi-objective Approach to Virtual Machine Management in Datacenters,” ICAC 2011. 10.1145/1998582.1998636

5. [5] E.K. Lee, H. Viswanathan, and D. Pompili, “VMAP: Proactive Thermal-aware Virtual Machine Allocation in HPC Cloud Datacenters,” HiPC 2012. 10.1109/hipc.2012.6507478