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Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm

  • Grant Wu
  • Maolin Tang
  • Yu-Chu Tian
  • Wei Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7665)

Abstract

Server consolidation using virtualization technology has become an important technology to improve the energy efficiency of data centers. Virtual machine placement is the key in the server consolidation. In the past few years, many approaches to the virtual machine placement have been proposed. However, existing virtual machine placement approaches to the virtual machine placement problem consider the energy consumption by physical machines in a data center only, but do not consider the energy consumption in communication network in the data center. However, the energy consumption in the communication network in a data center is not trivial, and therefore should be considered in the virtual machine placement in order to make the data center more energy-efficient. In this paper, we propose a genetic algorithm for a new virtual machine placement problem that considers the energy consumption in both the servers and the communication network in the data center. Experimental results show that the genetic algorithm performs well when tackling test problems of different kinds, and scales up well when the problem size increases.

Keywords

Virtual machine placement Server consolidation Data center Cloud computing Genetic algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Grant Wu
    • 1
  • Maolin Tang
    • 1
  • Yu-Chu Tian
    • 1
  • Wei Li
    • 2
  1. 1.School of Electrical Engineering and Computer ScienceQueensland University of TechnologyBrisbaneAustralia
  2. 2.School of Information and Communication TechnologyCentral Queensland UniversityRockhamptonAustralia

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