Task Scheduling Based on Genetic Algorithm in Mobile Grid
Computer Science & Service System（2012）
摘要
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.
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关键词
mobile grid environment,mobile devices,equipment connectivity,scheduling,mobile device,task scheduling method,grid computing,task analysis,grid scheduling,mobile grid task scheduling,grid task analysis efficiency,mobile grid system scheduling,task completion time,system total execution time,mobile terminal,genetic algorithm,mobile grid,genetic algorithms,network connection,genetic algorithm (ga),mobile computing,mobile grid system scheduling performance,task scheduling,scheduling algorithms,mobile communication
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