Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster

In prevent global warming, it is critical to reduce electric energy consumed in information systems, especially servers in clusters like cloud computing systems. In this paper, a process migration approach is discussed to reduce the total energy consumption of clusters by using virtual machines. We...

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Bibliographic Details
Published inTransactions on Computational Collective Intelligence XXXIII Vol. 11610; pp. 144 - 166
Main Authors Duolikun, Dilawaer, Enokido, Tomoya, Takizawa, Makoto
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2019
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
algorithm
Dynamic virtual machine migration
Energy-efficient computation
Group migration of virtual machines
Static virtual machine migration
Online AccessGet full text
ISBN9783662595398
3662595397
ISSN0302-9743
1611-3349
DOI10.1007/978-3-662-59540-4_8

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Summary:In prevent global warming, it is critical to reduce electric energy consumed in information systems, especially servers in clusters like cloud computing systems. In this paper, a process migration approach is discussed to reduce the total energy consumption of clusters by using virtual machines. We propose a pair of the static SM(v) and dynamic DM(v) migration algorithms where a group of at most v (≥ $$\ge $$ 0) virtual machines migrate from a host server to a guest server. A group of virtual machines on a host server to migrate to a guest server are selected so that the total energy to be consumed by the host and guest servers can be reduced. In the SM(v) algorithm, the total number of virtual machines is fixed in a cluster. In the DM(v) algorithm, virtual machines are resumed and suspended so that the number of processes on each virtual machine is kept fewer. In the evaluation, we show the total energy consumption of servers can be mostly reduced in the DM(v) algorithm compared with other algorithms.
Bibliography:Original Abstract: In prevent global warming, it is critical to reduce electric energy consumed in information systems, especially servers in clusters like cloud computing systems. In this paper, a process migration approach is discussed to reduce the total energy consumption of clusters by using virtual machines. We propose a pair of the static SM(v) and dynamic DM(v) migration algorithms where a group of at most v (≥\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge $$\end{document}0) virtual machines migrate from a host server to a guest server. A group of virtual machines on a host server to migrate to a guest server are selected so that the total energy to be consumed by the host and guest servers can be reduced. In the SM(v) algorithm, the total number of virtual machines is fixed in a cluster. In the DM(v) algorithm, virtual machines are resumed and suspended so that the number of processes on each virtual machine is kept fewer. In the evaluation, we show the total energy consumption of servers can be mostly reduced in the DM(v) algorithm compared with other algorithms.
ISBN:9783662595398
3662595397
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-662-59540-4_8