A dynamic task scheduling algorithm in grid environment

  • Authors:
  • Wang Da-Zhen;Zhan Jun-Shan;Wan Fang;Zhu Lei

  • Affiliations:
  • Computer Science Department, Hubei University of Technology, Wuhan, P.R.China;Computer Science Department, Hubei University of Technology, Wuhan, P.R.China;Computer Science Department, Hubei University of Technology, Wuhan, P.R.China;Computer Science Department, Hubei University of Technology, Wuhan, P.R.China

  • Venue:
  • TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
  • Year:
  • 2006

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Abstract

Task scheduling is one of the effective methods in grid computing environment. In this paper, we introduce swarm intelligence mechanism into task scheduling, and propose a new dynamic task-scheduling algorithm. This algorithm is used in the simple resource pool model and can effectively organize independent tasks based on the interaction model between a wasp colony and its environment. Through the experiment, the algorithm has been proved more efficient and more adaptive to the dynamic grid environment than other ones in the simple resource pool model of grid environment.