Mobility Aware Energy Efficient Job Scheduling and Load Balancing Using Genetic Algorithm

Abstract

This paper proposes a new approach for workflow scheduling problem in the mobile computing environment which utilizes the optimization based scheduling with efficient outcome. The mobile grid is much less stable than the wired environment, dynamism should be considered at the scheduling time. Job scheduling in mobile grids thus require a robust system model that can incorporate all these factors. In order to meet the dynamic and mobile nature of resources, the availability should be predicted in case of scheduling. In Grid Booster Algorithm’s is used to schedule the strategy to enable effective load balancing.