Task Scheduling Based on Genetic Algorithm in Mobile Grid
Qing Feng Jiang, Xianglin Wu, Yang Hao-lan · 2012
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.