Strategy for Load Balancing Task Assignment Based on Traffic Load

DOI

10.2991/fmsmt-17.2017.253How to use a DOI?

Keywords

traffic load; load balancing; workflow system; minimum variance; mobile internet

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xudong Xu
AU  - Xueyang Zhou
PY  - 2017/04
DA  - 2017/04
TI  - Strategy for Load Balancing Task Assignment Based on Traffic Load
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1289
EP  - 1294
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.253
DO  - 10.2991/fmsmt-17.2017.253
ID  - Xu2017/04
ER  -