West Bend Broadcasting, Inc.
Grid provides the user a huge amount of computational resources in a distributed manner, using which the authors can perform their tasks over these grid environments. These resources are geographically distributed around the globe and are dynamically available. Hence, to schedule them for actual use they need to consider various points like, availability, fault tolerance, and response time etc. In this paper, they consider a grid scheduling strategy with respect to multiple objectives. They have followed a multi objective genetic algorithm which is basically a Random Weighted Genetic Algorithm (RWGA) considering the checkpoint based fault tolerance mechanism to prevent resource failure.