Abstract
Grid computing is a form of distributed computing that involves coordinating and sharing computational power, data storage and network across dynamic and geographically dispersed organizations 6. In the computational grid the fundamental key management is resource and workload management services such as discovering of resources, monitoring and scheduling the resources. In this research paper, we approach the problem of grid scheduling through grid scheduling with Quality of
Service (QoS). An Application-Level scheduling system (AppLeS) is applied in the grid computing to measure the performance of the application on a specific site resource and utilizes this information to make resource selection and scheduling decisions. In this paper we proposed architecture for Application Level Scheduling system with a resource manager and we also proposed Page fault frequency replacement algorithm (PFFR) for the Application Level Scheduling System as it might exhibit “thrashing”.
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