Efficient Resource Management Mechanism with Fault Tolerant Model for Computational Grids

Abstract

Grid computing provides a framework and deployment environment that enables resource sharing, accessing, aggregation and management. It allows resource and coordinated use of various resources in dynamic, distributed virtual organization. The grid scheduling is responsible for resource discovery, resource selection and job assignment over a decentralized heterogeneous system. In the existing system, primary-backup approach is used for fault tolerance in a single environment. In this approach, each task has a primary copy and backup copy on two different processors. For dependent tasks, precedence constraint among tasks must be considered when scheduling backup copies and overloading backups. Then, two algorithms have been developed to schedule backups of dependent and independent tasks. The proposed work is to manage the resource failures in grid job scheduling. In this method, data source and resource are integrated from different geographical environment. Faulttolerant scheduling with primary backup approach is used to handle job failures in grid environment. Impact of communication protocols is considered. Communication protocols such as Transmission Control Protocol (TCP), User Datagram Protocol (UDP) which are used to distribute the message of each task to grid resources.