Fault Tolerant Quality Aware Resource Scheduling Strategy in Computational Economy Based Grid Framework

In this paper we have investigated the issues related to resource allocation, fault-tolerance and application scheduling in the context of computational grid economy, arises due to the autonomous nature of grid environment. Our proposed approach provides a novel solution for fault-tolerant resource allocation and task scheduling algorithm that executes user's job in case of resource failure and satisfied user quality of service requirements. Extensive simulation results shows that our strategy performs better then existing algorithm in term of number of job completion and average makespan ratio before deadline and budget.