On-line hierarchical job scheduling on grids with admissible allocation

  • Authors:
  • Andrei Tchernykh;Uwe Schwiegelshohn;Ramin Yahyapour;Nikolai Kuzjurin

  • Affiliations:
  • Computer Science Department, CICESE Research Center, Ensenada, Mexico 22830;Robotics Research Institute, Technische Universität Dortmund, Dortmund, Germany 44221;IT and Media Center, Technische Universität Dortmund, Dortmund, Germany 44221;Institute of System Programming RAS, Moscow, Russia

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2010

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Abstract

In this paper, we address non-preemptive online scheduling of parallel jobs on a Grid. Our Grid consists of a large number of identical processors that are divided into several machines. We consider a Grid scheduling model with two stages. At the first stage, jobs are allocated to a suitable machine, while at the second stage, local scheduling is independently applied to each machine. We discuss strategies based on various combinations of allocation strategies and local scheduling algorithms. Finally, we propose and analyze a scheme named adaptive admissible allocation. This includes a competitive analysis for different parameters and constraints. We show that the algorithm is beneficial under certain conditions and allows for an efficient implementation in real systems. Furthermore, a dynamic and adaptive approach is presented which can cope with different workloads and Grid properties.