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Author:

Xu Xudong (Xu Xudong.) | Zhou Xueyang (Zhou Xueyang.)

Indexed by:

CPCI-S

Abstract:

Aiming at the problem that in the mobile Internet platform, the traffic load (that is, the time the task participant costs when arriving at the task execution site) has a great impact on load balancing of task participant and execution efficiency of task in the workflow system, this paper proposes a load balancing task assignment strategy considering the traffic load. On the basics of considering execution load of task, the strategy fully considers the traffic load due to the decentralization of the task execution site when calculating the load of task participant. Additionally to the variance of the load sequence constituted by loads of all the task participants as a standard, selecting the assignment scheme with the smallest variance of load sequence after task assignment in all assignment schemes. The application of this strategy can significantly improve the load balancing effect of task participant and the overall execution efficiency of the task in the workflow system under the mobile Internet platform.

Keyword:

minimum variance load balancing traffic load mobile internet workflow system

Author Community:

  • [ 1 ] [Xu Xudong]Beijing Univ Technol, Faulty Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Zhou Xueyang]Beijing Univ Technol, Faulty Informat Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Xu Xudong]Beijing Univ Technol, Faulty Informat Technol, Beijing, Peoples R China

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Source :

PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY (FMSMT 2017)

ISSN: 2352-5401

Year: 2017

Volume: 130

Page: 1289-1294

Language: English

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: 6

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