Abstract
Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling in an important aspect of distributed computing. As grid computing is a form of distributed computing with heterogeneous resources working in a shared environment with no central control. The main aim of Grid scheduling is to increase the system throughput and to satisfy the job requirements from the available resources. In this paper we introduce a new resource requirement (RR) based task-scheduling algorithm for grid computing. The new algorithm is based on the resource requirement of the jobs. It has been tested in simulated grid environment. The experimental results showed a significant improvement in terms of a smaller makespan time in various applications.
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