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Energy-efficient virtual machine placement in data centers by genetic algorithm

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conference contribution
posted on 2017-12-06, 00:00 authored by G Wu, M Tang, Yuchu TianYuchu Tian, Wei LiWei Li
Server consolidation using virtualization technology has be come 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.

History

Start Page

315

End Page

323

Number of Pages

9

Start Date

2012-01-01

Finish Date

2012-01-01

ISBN-13

9783642344862

Location

Dawḥah, Qatar

Publisher

Springer Berlin Heidelberg

Place of Publication

Berlin, Heidelberg

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

School of Electrical Engineering and Computer Science; School of Engineering and Technology (2013- ); TBA Research Institute;

Era Eligible

  • Yes

Name of Conference

ICONIP (Conference)

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