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| Intelligent Optimization Strategy for Virtual Machine Placement in Data Center |
| NI Zhi-Wei, LIANG Ting, WU Zhang-Jun, XIAO Hong-Wang |
| School of Management, Hefei University of Technology, Hefei 230009 Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education,Hefei University of Technology, Hefei 230009 |
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Abstract Virtual machine placement problem is one of the key issues affecting the performance of data centers. An intelligent optimization strategy for virtual machine placement in the data center is proposed with comprehensive consideration of resource wastage, power consumption and load balance. Firstly, a multi-objective mathematical model for the virtual machine placement optimization is built by the strategy. Secondly, the placement problem is abstracted as the bin packing problem. Finally, an optimization strategy based on the improved adaptive discrete glowworm swarm optimization is put forward. Simulation experiment results show that the proposed adaptive discrete glowworm swarm optimization has good robustness and convergence rate, and the proposed intelligent optimization strategy solves the virtual machine placement problem effectively.
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Received: 18 March 2014
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2015, Vol. 28 
