Preference Based and Fair Resources Selection in Grid VOs

  • Victor ToporkovEmail author
  • Dmitry Yemelyanov
  • Anna Toporkova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11657)


In this work, a preference-based resources allocation algorithm for a job-flow scheduling in 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. The algorithm performs resources selection optimization according to a specified general criterion and may be used in a variety of scheduling procedures, such as Backfilling or First Fit. Fair scheduling policies in VOs assume resources distribution according to VO stakeholders individual preferences. For this purpose, we consider a target optimization criterion as a linear combination of global (group) and private (user) job scheduling criteria. The mutual importance factor between the private and the global criteria is introduced to achieve a balanced scheduling solution.


Scheduling Grid Resources selection Utilization Virtual organization Preferences Private Global 



This work was partially supported by the Council on Grants of the President of the Russian Federation for State Support of Young Scientists (grant YPhD-2979.2019.9), RFBR (grants 18-07-00456 and 18-07-00534), and by the Ministry on Education and Science of the Russian Federation (project no. 2.9606.2017/8.9).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Victor Toporkov
    • 1
    Email author
  • Dmitry Yemelyanov
    • 1
  • Anna Toporkova
    • 2
  1. 1.National Research University “MPEI”MoscowRussia
  2. 2.National Research University Higher School of EconomicsMoscowRussia

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