DocumentCode :
3123229
Title :
An energy saving heuristic algorithm based on consolidation of virtual machines
Author :
Xiao-Dong Zuo ; Hao-Miao Jia
Author_Institution :
CEC Inf. Technol. Res. Inst., Beijing, China
Volume :
04
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1578
Lastpage :
1583
Abstract :
Energy saving based on the consolidation of virtual machines is an effective approach to green computing and can reduce the operation cost of IT systems. However, how to achieve the optimal energy saving based on virtual machine consolidation is essentially a Variable Size Bin Packing Problem (VSBPP), which is a NP problem. A heuristic algorithm named Virtual Machine Consolidation Heuristic (VMCH) based on the typical data center configuration can convert the VSBPP on virtual machine consolidation into a 0-1 Knapsack problem and effectively simplify the algorithm decision process. VMCH consolidates virtual machines into physical servers as few as possible without obviously sacrificing the system performance. The efficiency and effectiveness of VMCH have been verified in a small prototype system.
Keywords :
bin packing; computational complexity; energy conservation; green computing; virtual machines; 0-1 knapsack problem; IT systems; NP-hard problem; VMCH; VSBPP; energy saving heuristic algorithm; green computing; information technology; operation cost reduction; variable size bin packing problem; virtual machine consolidation heuristic; Abstracts; Electronic mail; Erbium; Green products; Silicon; Time measurement; Virtual machining; 0??1 Knapsack problem; Bin Packing Problem; Green computing; Heuristic algorithm; Virtual machine consolidation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890854
Filename :
6890854
Link To Document :
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