Abstract
In this work, a job-flow scheduling approach for Grid virtual organizations is proposed and studied. Users’ and resource providers’ preferences, virtual organization’s 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. This further complicates the task of efficient scheduling. In order to improve overall scheduling efficiency we propose a heuristic anticipation scheduling approach. It generates a near optimal but infeasible scheduling solution and includes special replication procedure for efficient and feasible resources allocation.
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Acknowledgments
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/BCh).
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Toporkov, V., Yemelyanov, D., Loginov, V., Potekhin, P. (2018). Anticipation Scheduling in Grid Virtual Organizations. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Advances in Dependability Engineering of Complex Systems. DepCoS-RELCOMEX 2017. Advances in Intelligent Systems and Computing, vol 582. Springer, Cham. https://doi.org/10.1007/978-3-319-59415-6_41
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DOI: https://doi.org/10.1007/978-3-319-59415-6_41
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