Distributed Parallel Resource Co-Allocation with Load Balancing in Grid Computing

Resource Co-allocation is one of the crucial problems affecting the performance of the grid. In addition to this if the system load in each of nodes is nearly equal; it indicates good resource allocation and utilization. It is well known that load balancing is a key factor in developing parallel and distributed applications. Instead of balancing the load in grid by process migration, or by moving an entire process to a less loaded node, we make an attempt to balance load by splitting up processes into separated jobs and then balance them to nodes. To address the problem of load balancing, many centralized approaches have been proposed in the literature but centralization has proved to raise scalability tribulations. So in order to get the target, we use mobile agents (MAs) to distribute load among nodes in the grid. Because a quick response time is necessary for need of users in real grid environment so a real time resource co-allocation is needed for such type of applications. So a parallel resource co-allocation using MA is proposed in this paper which not only balance the load on grid using proposed architecture but also allocate the resources. It is concluded with the results of the experiments that parallel method not only reduces total execution time but also reduces overall response time small.