Resource selection in grid environment based on trust evaluation using feedback and performance

Abstract

A grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infrastructure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the one of the important factor for selecting the resources in computational grid. We introduced a new technique for finding the trusted resource. In our proposed method, we computed the trusted resource from user's feedback and performance. While selecting the resource, overall trustworthiness is compared. The result of the resource selection algorithm is that most trust resource weight is above the threshold level. In our proposed algorithm job is submitted to the trust resource available in grid. © 2013 Science Publication.