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