Fuzzy Logic Based Job Scheduling In Computational Grid with Minimum Communication and Replication Cost

Grid computing allows sharing and coordinated use of diverse resources in dynamic distributed virtual organizations. The objective is to best scheduling of tasks which attain maximum resource utilization, minimum response time and a well-balanced load across all the resources involved in a grid. Faulttolerant scheduling is an imperative step for large-scale computational Grid systems which uses primarybackup approach as the methodology for fault tolerance. For independent tasks, the backup overloading is using for reducing the cost. The heterogeneous nature of the resources and their deferring security policies are complicated and complex in the grid environment. The main challenges it faces are integration, interoperability of security framework and the trust relationship between participants. The proposed method considers the trust relationship between the participants. It offers a fuzzy-logic-based self-adaptive job replication scheduling (FSARS) algorithm. FSARS uses the security demand of the task and Trust level of the resources as the main parameters. An empirical membership functions are using for transformation of security conditions in to the fuzzy set. The proposed approach gives a robust performance against resource failures and increased scheduling success rate.