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A computational grid environment consists of several loosely coupled pool of virtualized heterogeneous resources. The resources are geographically dispersed and their interactions with other components in the grid are independent of location. The grid architecture follows a Client-Broker-Resource system. The broker is as an intermediary between the clients and the resources. The broker allocates the resources to the clients based on the response received by each resource. In this scenario, prioritization of client’s request rather to prioritize the resource, which may fulfill clients’ request, is a major issue. Eventually, prioritization of resources balances workload in grid. Thus, the objective of this paper is to prioritize the resources, in order to allocate jobs in computational grid, using analytic hierarchy process (AHP) methodology. This technique plays major role in our proposed nearest deadline first scheduled (NDFS) algorithm. This paper also demarks the resources with proper ranking in Unicore grid environment. |
