A Combined Trend Virtual Machine Consolidation Strategy for Cloud Data Centers
Author:
Affiliation:
1. College of Information Science and Technology, Jinan University, Guangzhou, China
2. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, U.K.
Funder
Basic and Applied Basic Research Foundation of Guangdong Province
The Innovation Platform for Academicians of Hainan Province
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/12/10631806/10565293.pdf?arnumber=10565293
Reference44 articles.
1. Cloud Computing: Issues and Challenges
2. Usage impact on data center electricity needs: A system dynamic forecasting model
3. The Case for Energy-Proportional Computing
4. Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints
5. Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
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