A grid resource allocation method based on analytic hierarchy process

Resource consumers and resource providers are the main infrastructures of the computational grid environment. The part that connects these components and makes this system a usable infrastructure is grid scheduler. Its role is to select the proper resource and sending its identifier to the user. It is obvious that, this process of resource selecting is a multi-criteria decision making problem, because of different qualitative and quantitative attributes affect it. In this paper, we introduce the method of analytic hierarchy process based resource allocation (ARA) to solve this problem. Simulation results show that the proposed method reduces task failure rate and mean waiting time to less than 2/10 and 5/100 of the previous methods respectively.