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Edge Computing Resource Allocation Algorithm Based on Auction Game

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Geo-informatics in Sustainable Ecosystem and Society (GSES 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 980))

Abstract

Edge computing is a computing model that can effectively solve the resource-constrained problem of distributed networks. Resource virtualization is one of the important supporting technologies for edge computing. In this paper, the network resource allocation algorithm of edge computing is researched. Based on the analysis of resource virtualization research in the field of edge computing, the architecture model of edge computing system is proposed firstly, and the goal of resource consumption equalization is proposed. Edge computing resource allocation algorithm based on auction game, and verifying the feasibility and scientificity of the algorithm through simulation experiments.

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Acknowledgments

This paper is Supported by Foundation of Hebei Education committee of China (No. QN2015046).

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Authors and Affiliations

  1. School of Information and Electric Engineering, Hebei University of Engineering, Handan, 056038, Hebei, China

    Zuopeng Li & Haoxiang Wang

Authors
  1. Zuopeng Li
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  2. Haoxiang Wang
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Corresponding author

Correspondence to Haoxiang Wang .

Editor information

Editors and Affiliations

  1. Eastern Michigan University, Ypsilanti, MI, USA

    Yichun Xie

  2. Hebei University of Engineering, Handan, China

    Anbing Zhang

  3. Hebei University of Engineering, Handan, Hebei, China

    Haixin Liu

  4. Hebei University of Engineering, Handan, China

    Lili Feng

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Li, Z., Wang, H. (2019). Edge Computing Resource Allocation Algorithm Based on Auction Game. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_36

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  • DOI: https://doi.org/10.1007/978-981-13-7025-0_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7024-3

  • Online ISBN: 978-981-13-7025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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