The gain of resource delegation in distributed computing environments

  • Authors:
  • Alexander Fölling;Christian Grimme;Joachim Lepping;Alexander Papaspyrou

  • Affiliations:
  • Robotics Research Institute, TU Dortmund University, Dortmund, Germany;Robotics Research Institute, TU Dortmund University, Dortmund, Germany;Robotics Research Institute, TU Dortmund University, Dortmund, Germany;Robotics Research Institute, TU Dortmund University, Dortmund, Germany

  • Venue:
  • JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
  • Year:
  • 2010

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Abstract

In this paper, we address job scheduling in Distributed Computing Infrastructures, that is a loosely coupled network of autonomous acting High Performance Computing systems. In contrast to the common approach of mutual workload exchange, we consider the more intuitive operator's viewpoint of load-dependent resource reconfiguration. In case of a site's over-utilization, the scheduling system is able to lease resources from other sites to keep up service quality for its local user community. Contrary, the granting of idle resources can increase utilization in times of low local workload and thus ensure higher efficiency. The evaluation considers real workload data and is done with respect to common service quality indicators. For two simple resource exchange policies and three basic setups we show the possible gain of this approach and analyze the dynamics in workload-adaptive reconfiguration behavior.