Review of Peer to Peer Grid Load Balancing Model Based on Ant Colony Optimization with Resource Management

Grid Systems allow applications to assemble and use collections of resources on an as-needed basis, without regard to its physical location. Grid middleware and other software architecture that manage resources have to locate and allocate resources according to application requirements. They also have to manage other activities like authentication and process creation that are required to prepare tasks mapping. Our main concern is to address the implications imposed by heterogeneity of applications and resources in computational Grid by means of ant colony algorithm based on resource load balancing. The matching of tasks to machines and scheduling the execution order of these tasks is referred to as mapping. There are some of the challenges involved in the mapping problems include resource heterogeneity and resource load balancing. a new load balancing method to address the new challenges in Grid computing. Comparatively to the existing works, the main characteristics of our strategy are: New organization of resource information node based on p2p model has been introduced. It uses new hybrid ant colony technique for transfer of request from a node to another node in information node organization. In load balancing based p2p grid computing ant algorithm can improve with heuristic or hybrid ant colony algorithm. This hybridization of the ant colony algorithm with other algorithms to produce high throughput computing. Further research may be done to create different heuristic based algorithms for grid computing problems. Keywords— Peer to Peer Grid, Ant Colony Optimization, Load Balancing, Resource Management .