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作者:

Tian, Guozhong (Tian, Guozhong.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Xu, Xiao (Xu, Xiao.) | Gao, ChaoQin (Gao, ChaoQin.) | Nuslati (Nuslati.) | Mardan (Mardan.)

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EI Scopus

摘要:

For the grid workflow of DAG with strict time limits, this paper puts forward a new algorithm based on the time prediction model of queuing theory. According to the requirements of workflow execution time submitted by users, this algorithm finds critical path first and then obtains the probability of actual execution time exceeding the limit time which was set by users using Little's law, and then selects the best candidate resources to execute the workflow task. The simulation results show the effectiveness of the algorithm. ©2010 IEEE.

关键词:

Queueing theory

作者机构:

  • [ 1 ] [Tian, Guozhong]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Tian, Guozhong]Department of Computer Engineering, XinJiang Polytechnich College, Urumqi 830091, China
  • [ 3 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Xu, Xiao]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Gao, ChaoQin]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Nuslati]Department of Computer Engineering, XinJiang Polytechnich College, Urumqi 830091, China
  • [ 7 ] [Mardan]Department of Computer Engineering, XinJiang Polytechnich College, Urumqi 830091, China

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年份: 2010

页码: 2036-2039

语种: 英文

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SCOPUS被引频次: 1

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