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A Grouping Genetic Algorithm for Virtual Machine Placement in Cloud Computing

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Collaborate Computing: Networking, Applications and Worksharing (CollaborateCom 2016)

Abstract

Virtual machine placement is a process of mapping virtual machines to physical machines. The optimal placement is important for improving power efficiency in a cloud computing environment. In this paper, we exploit a grouping genetic algorithm to solve the virtual machine placement problem. The goal is to efficiently obtain a set of non-dominated solutions that minimize power consumption. The proposed algorithm is tested with some instances from the related literatures. The experimental results show that the proposed algorithm is more efficient and effective than the other related algorithms.

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Authors and Affiliations

  1. State Grid Info-Telecom Great Power Science and Technology Co., Ltd., Beijing, China

    Hong Chen

Authors
  1. Hong Chen
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Corresponding author

Correspondence to Hong Chen .

Editor information

Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Ao Zhou

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, H. (2017). A Grouping Genetic Algorithm for Virtual Machine Placement in Cloud Computing. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_43

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  • DOI: https://doi.org/10.1007/978-3-319-59288-6_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59287-9

  • Online ISBN: 978-3-319-59288-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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