A Balanced Resource Allocation and Overload Control Infrastructure for the Service Grid Environment

  • Authors:
  • Jun Wang;Yi Ren;Di Zheng;Quan-Yuan Wu

  • Affiliations:
  • School of Computer Science, National University of Defence Technology, Changsha, Hunan, 410073, China;School of Computer Science, National University of Defence Technology, Changsha, Hunan, 410073, China;School of Computer Science, National University of Defence Technology, Changsha, Hunan, 410073, China;School of Computer Science, National University of Defence Technology, Changsha, Hunan, 410073, China

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
  • Year:
  • 2007

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Abstract

For the service based Grid applications, the applications may be integrated by using the Grid services across Internet, thus we should balance the load for the applications to enhance the resource's utility and increase the throughput. To overcome the problem, one effective way is to make use of load balancing. Kinds of load balancing middleware have already been applied successfully in distributed computing. However, they don't take the services types into consideration and for different services requested by clients the workload would be different out of sight. Furthermore, traditional load balancing middleware uses the fixed and static replica management and uses the load migration to relieve overload. Therefore, we put forward an autonomic replica management infrastructure to support fast response, hot-spot control and balanced resource allocation among services. Corresponding simulation tests are implemented and results indicated that this model and its supplementary mechanisms are suitable to service based Grid applications.