Design and Implementation of Job Migration Policies in P2P Grid Systems

Grid computing systems integrate geographical computing resources across virtual organizations. In grid systems, one of the most important challenges is how to efficiently exploit shared computing resources. This study addresses the job migration policies for exploiting computing resources in grid computing systems. In this study, we propose two job migration policies, the load barrier policy and the minimal job turnaround time policy. By adopting the P2P technique, we construct a job migration mechanism to improve the utilization of idle computing resources across virtual organizations in P2P Grid systems. We quantify the performance of our job migration mechanism using several influencing parameters such as the job migration policy, load barrier, job size, and data transfer rate. Experimental results show that our job migration mechanism could efficiently distribute load in P2P Grid systems.