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Heuristic of Anticipation for Fair Scheduling and Resource Allocation in Grid VOs

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Intelligent Distributed Computing XI (IDC 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 737))

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Abstract

In this work, a job-flow scheduling approach for Grid virtual organizations (VOs) is proposed and studied. Users and resource providers preferences, VOs internal policies, resources geographical distribution along with local private utilization impose specific requirements for efficient scheduling according to different, usually contradictive, criteria. With increasing resources utilization level the available resources set and corresponding decision space are reduced. In order to improve overall scheduling efficiency, we propose an anticipation scheduling heuristic. It includes a target (anticipated) pattern solution definition and a special replication procedure for efficient and feasible resources allocation. A proposed anticipation algorithm is compared against conservative backfilling variations using such criteria as average jobs response time (start and finish times) as well as users and VO economic criteria (execution time and cost).

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Acknowledgements

This work was partially supported by the Council on Grants of the President of the Russian Federation for State Support of Young Scientists and Leading Scientific Schools (grants YPhD-2297.2017.9 and SS-6577.2016.9), RFBR (grants 15-07-02259 and 15-07-03401) and by the Ministry on Education and Science of the Russian Federation (project no. 2.9606.2017/8.9).

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Authors and Affiliations

  1. National Research University “MPEI”, ul. Krasnokazarmennaya, 14, Moscow, 111250, Russia

    Victor Toporkov & Dmitry Yemelyanov

  2. National Research University Higher School of Economics, ul. Myasnitskaya, 20, Moscow, 101000, Russia

    Anna Toporkova

Authors
  1. Victor Toporkov
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  2. Anna Toporkova
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  3. Dmitry Yemelyanov
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Corresponding author

Correspondence to Victor Toporkov .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  2. Faculty of Automatics, Computer Science and Electronics, University of Craiova, Craiova, Romania

    Costin Bădică

  3. Institut für Informatik, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Jürgen Dix

  4. School of Electrical Engineering, University of Belgrade, Belgrade, Serbia

    Zoran Jovanović

  5. Dipartimento di Ingegneria Elettrica, Elettronica e Informatica, Universita degli Studi di Catania, Catania, Italy

    Michele Malgeri

  6. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Miloš Savić

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Toporkov, V., Toporkova, A., Yemelyanov, D. (2018). Heuristic of Anticipation for Fair Scheduling and Resource Allocation in Grid VOs. In: Ivanović, M., Bădică, C., Dix, J., Jovanović, Z., Malgeri, M., Savić, M. (eds) Intelligent Distributed Computing XI. IDC 2017. Studies in Computational Intelligence, vol 737. Springer, Cham. https://doi.org/10.1007/978-3-319-66379-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-66379-1_3

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  • Print ISBN: 978-3-319-66378-4

  • Online ISBN: 978-3-319-66379-1

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