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Energy-Efficient Quorum Selection Algorithm for Distributed Object-Based Systems

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Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 611))

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Abstract

Distributed applications are composed of multiple objects and each object is replicated in order to increase reliability, availability, and performance. On the other hand, the larger amount of electric energy is consumed in a system since multiple replicas of each object are manipulated on multiple servers. In this paper, the energy efficient quorum selection (EEQS) algorithm is proposed to construct a quorum for each method issued by a transaction in the quorum based locking protocol so that the total electric energy consumption of servers to perform methods can be reduced. We show the total energy consumption of servers, the average execution time of each transaction, and the number of aborted transactions can be reduced in the EEQS algorithm compared with the random algorithm in the evaluation.

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Author information

Authors and Affiliations

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

    Tomoya Enokido

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Dilawaer Duolikun & Makoto Takizawa

Authors
  1. Tomoya Enokido
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  2. Dilawaer Duolikun
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  3. 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. Politècnico di Torino, Istituto Superiore Mario Boella, Turin, Italy

    Olivier Terzo

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Enokido, T., Duolikun, D., Takizawa, M. (2018). Energy-Efficient Quorum Selection Algorithm for Distributed Object-Based Systems. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61565-3

  • Online ISBN: 978-3-319-61566-0

  • eBook Packages: EngineeringEngineering (R0)

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