DocumentCode :
584289
Title :
A Live Migration Strategy for Virtual Machine Based on Performance Predicting
Author :
Li, Zhihong ; Luo, Wei ; Lu, Xingjian ; Yin, Jianwei
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
72
Lastpage :
76
Abstract :
The live migration for virtual machine has been widely utilized. This paper proposes a live migration strategy for virtual machine, which combines with performance predicting algorithm. According to the average utilization of the CPU, memory, I/O and network bandwidth, the live migration strategy of this paper utilizes the performance predicting, and make a serial of judgements about migration, such as whether a migration is triggered, what virtual machine should be migrated, and where is the destination host of the virtual machine. In this paper, we describe the algorithm of realizing this strategy in details, and carry out some experiments which demonstrate that this strategy is able to maintain the system stability and achieve the load balancing.
Keywords :
resource allocation; singular value decomposition; storage management; virtual machines; CPU utilization; I/O utilization; OSVC algorithm; live migration strategy; load balancing; memory utilization; network bandwidth; optimal singular value decomposition; performance prediction; system stability; virtual machine; Heuristic algorithms; Matrix decomposition; Prediction algorithms; Singular value decomposition; Software algorithms; Vectors; Virtual machining; Singular Value Decomposition; live migration; performance predicting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.27
Filename :
6394265
Link To Document :
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