Fault-tolerant dynamic job scheduling policy

  • Authors:
  • J. H. Abawajy

  • Affiliations:
  • School of Information Technology, Deakin University, Geelong, VIC., Australia

  • Venue:
  • ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing
  • Year:
  • 2005
  • A survey of job scheduling in grids

    APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management

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Abstract

In this paper, we propose a scalable and fault-tolerant job scheduling framework for grid computing. The proposed framework loosely couples a dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.