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Author:

Sun, T. (Sun, T..) | Xiao, C. (Xiao, C..) | Zhang, Y. (Zhang, Y..) (Scholars:张勇) | Xu, X. (Xu, X..)

Indexed by:

Scopus PKU CSCD

Abstract:

To further improve the efficiency of workflow scheduling, a workflow scheduling algorithm in heterogeneous environment was studied, and a workflow scheduling algorithm based on critical path lookahead algorithm (CPLA) was proposed. In the task priority stage, the longest path of the entry task to the current task was considered, and the longest path of the current task to exit task was also taken into consideration. In the resource selection stage, the impact of tasks of the critical path and tasks of the non critical path on the scheduling results were considered. Two different types of DAGs which were randomly generated and from real-world were used to evaluate the performance of CPLA. The experimental results show that the CPLA can effectively shorten the scheduling length. The performances of this algorithm, such as efficiency, speedup, scheduling length ratio of algorithm are improved, and the time complexity of the algorithm is lower than that of the lookahead algorithm. © 2018, Editorial Department of Journal of Beijing University of Technology. All right reserved.

Keyword:

Critical path; Non critical path; Speedup; Static workflow scheduling

Author Community:

  • [ 1 ] [Sun, T.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Xiao, C.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Zhang, Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Xu, X.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2018

Issue: 8

Volume: 44

Page: 1136-1144

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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