Zone Based Job Scheduling in Mobile Grid Environment

Recent advances in mobile computing, and strong interest of the scientific community in the Grid have led to research into the Mobile Grid. One primary issue associated with the efficient and effective utilization of mobile resources in a mobile grid is scheduling of tasks. In this paper, a task scheduling algorithm is proposed based on the dynamic prediction of resource mobility and battery power in the mobile grid environment. The mobility is predicted based on the movement type, movement pattern and movement direction of the mobile resource within the zone. The battery power is predicted based the C-rate of the mobile resource. The availability prediction of a mobile resource is evaluated during the task submission and this allows the system to consider run-time parameters prior to execution. The evaluation study employs a number of experiments with various simulation settings. The simulation results point to the efficacy of the proposed work.