Proffering a Brand New Method for Mapping of Tasks to Resource in Grid Computing with the Aims of Load Balancing Based on P2P Model Uses Ant Colony Algorithm

Computational Grid is a new paradigm in distributed computing which aims to realize a large-scale high performance computing environment over geographically distributed resources. Resource management and load balancing are key concerns when implementing grid middleware and improving resource utilization. The main goal of load balancing is to provide a distributed, low cost, scheme that balances the load across all the resources. To improve the global throughput of Grid resources, effective and efficient load balancing algorithms are fundamentally important. This paper identifies the issues in task mapping based on ant colony algorithm with the aims of load balancing. To show the effectiveness of the proposed method, computer simulations have been used. The results of simulation show that the performance of proposed algorithms has a significant improvement