An Expectation Trust Benefit Driven Algorithm for Resource Scheduling in Grid Computing

In traditional grid resource allocation solutions, the jobs with high-quality required may not be executed when they were allocated to low-quality offered nodes because of the separation of trust mechanism and job schedule mechanisms. Therefore, this paper combines the two mechanisms, proposes grid job schedule arithmetic driven by the expectation trust benefit. The value of the expectation trust benefit function is the prediction benefit of a certain job which executes in grid. Simulation experiments prove that expectation trust benefit driven arithmetic is better than conversional min-min arithmetic in benefit and it also has a good performance in trust benefit.