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Task Scheduling Based on Genetic Algorithm in Mobile Grid

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3 Author(s)
Qing Jiang ; Chongqing Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun. (CQUPT), Chongqing, China ; Xianglin Wu ; Haolan Yang

Aimed at the problem of the task scheduling in the mobile grid environment, after introducing mobile devices and considering the stability of the network connection with the mobile terminal, we propose a task scheduling method based on genetic algorithm to shorten the time span and improve the utilization ratio of resources. By means of simulation experiments show that, using genetic algorithms for mobile grid task scheduling can reduce the system total execution time and task completion time, improve grid task analysis efficiency, and make a mobile grid system scheduling performance better.

Published in:

Computer Science & Service System (CSSS), 2012 International Conference on

Date of Conference:

11-13 Aug. 2012

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