FUZZY TRUST BASED JOB SCHEDULING FOR GRID ENVIRONMENT

Abstract

Grid Computing enables the secured, controlled and flexible sharing of resources among various dynamically created virtual organizations. These virtual organizations are setup for collaborative problem solving that requires a great number of processing cycles. Grid computing provides highly scalable, highly secure and utmost high performance mechanisms for discovering and negotiating access to the computing resources among an infinite number of geographically distributed groups to solve complex scientific or technical problems. Trust is a fundamental issue in achieving security and providing safety to users as well as service providers on computational grids. An efficient Trust management model is an essential part of the grid. Even though middleware support for grid computing has been the subject of extensive research; a procedure for calculating trust value has not been integrated. Here, a Fuzzy based trust model is proposed and job scheduling is done on the basis of it. The input fuzzy parameters are: Capability, Reliability, and User Satisfaction. Output is the crisp value of Trust Factor. The model is simulated in GridSim simulator. The experiment results show that the Fuzzy Trust based job scheduling gives significantly improvements in makespan and average ratio of number of successful jobs. iii