IMPROVED GENETIC ALGORITHM FOR GROUP-BASED JOB SCHEDULING IN MOBILE GRIDS
Govindarajan Saravanan, V. Gopalakrishanan · 2014
In mobile grids, the existing job scheduling scheme causes increased job processing time. The increased processing time and overhead may results in system degradation. Also mobility and resource availability parameters are not considered during job scheduling. Hence in this paper, we propose an improved genetic algorithm for group-based job scheduling in mobile grids. In this technique, the jobs are grouped according to the resource availability. Then the jobs are scheduled based on the parameters such as mobility, resource availability and job completion time using enhanced genetic algorithm. By simulation results, we show that the proposed technique minimizes the job completion time, thus enhancing the system performance and minimizing the overhead time.