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The Energy-Efficient Object Replication Scheme by Omitting Meaningless Write Methods in Virtual Machine Environments

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Advances in Networked-Based Information Systems (NBiS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1264))

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Abstract

Distributed applications are composed of various types of objects which are encapsulations of data and methods to manipulate the data in the objects. In order to provide reliable and available application services, each object is replicated on multiple virtual machines in a system. On the other hand, a system consumes a large amount of electric energy since multiple replicas of each object are manipulated on multiple virtual machines in a system. In this paper, the IEEQS-VM (improved energy-efficient quorum selection with virtual machines) algorithm is proposed to reduce the total electric energy consumption of a system by omitting meaningless write methods.

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Author information

Authors and Affiliations

  1. Faculty of Business Administration, Rissho University, 4-2-16, Osaki, Shinagawa-ku, Tokyo, 141-8602, Japan

    Tomoya Enokido

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, 3-7-2, Kajino-cho, Koganei-shi, Tokyo, 184-8584, Japan

    Makoto Takizawa

Authors
  1. Tomoya Enokido
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  2. Makoto Takizawa
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Corresponding author

Correspondence to Tomoya Enokido .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

    Kin Fun Li

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Enokido, T., Takizawa, M. (2021). The Energy-Efficient Object Replication Scheme by Omitting Meaningless Write Methods in Virtual Machine Environments. In: Barolli, L., Li, K., Enokido, T., Takizawa, M. (eds) Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing, vol 1264. Springer, Cham. https://doi.org/10.1007/978-3-030-57811-4_6

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