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A Decentralized Multi-agent Approach to Job Scheduling in Cloud Environment

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

Paper proposes a novel solution to a job scheduling problem in the Cloud Computing systems. The goal of this scheme is allocating a limited quantity of resources to a specific number of jobs minimizing their execution failure probability and completion time. It employs the Pareto dominance concept implemented at the client level. To select the best scheduling strategies from the Pareto frontier and construct a global scheduling solution we develop decision-making mechanisms based on the game-theoretic model of Spatial Prisoner’s Dilemma and realized by selfish agents operating in the two-dimensional Cellular Automata space. Their behavior is conditioned by objectives of the various entities involved in the scheduling process and driven towards a Nash equilibrium solution by the employed social welfare criteria. The related results show the effectiveness and scalability of this scheme in the presence of a large number of jobs and resources involved in the scheduling process.

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Jakub Gąsior

  2. Cardinal Stefan Wyszyński University, Warsaw, Poland

    Franciszek Seredyński

Authors
  1. Jakub Gąsior
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  2. Franciszek Seredyński
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Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Gąsior, J., Seredyński, F. (2015). A Decentralized Multi-agent Approach to Job Scheduling in Cloud Environment. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_36

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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