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Minimum-cost virtual machine migration strategy in datacenter.

Authors :
Zhang, Xinyan
Li, Keqiu
Zhang, Yong
Source :
Concurrency & Computation: Practice & Experience; Dec2015, Vol. 27 Issue 17, p5177-5187, 11p
Publication Year :
2015

Abstract

With an explosive growth of the datacenter research, virtual machines migration aiming at optimization of virtual machines placement is a major technology of improving power efficiency and resource utilization in the datacenter. While recent studies have primarily focused on maximizing resource utilization or minimizing migration cost separately, there has been little attention on jointly taking these two objectives into account. In this paper, we present the optimization model taking minimum migration cost and maximum resource utilization with multi-resources such as storage, bandwidth, CPU, and disk space into account. The optimization of our proposed model is non-deterministic polynomial-time hard. According to the model, we present an efficient approximate algorithm based on bin packing algorithm, called MinCost, to resolve our model and obtain a near-optimal solution. Finally, the simulation results in this paper show that our model and algorithm is efficient. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15320626
Volume :
27
Issue :
17
Database :
Complementary Index
Journal :
Concurrency & Computation: Practice & Experience
Publication Type :
Academic Journal
Accession number :
110568443
Full Text :
https://doi.org/10.1002/cpe.3554