Best Resource Node Selection in Grid Environment

Abstract

Grid computing can provide abundant resources to assist many studies and it can be employed in more and more projects that have so far yielded numerous findings. However, in grid environment, many distributed resources are integrated in different sites and resources are often shared by multiple user communities and can vary greatly in performance and load characteristics. Therefore, a central problem in grid environment is the selection of computation nodes for execution. Automatic selection of node is complex as the best choice depends on the user request structure as well as the expected availability of computation and communication resources. This paper considers the ongoing research on Rough Sets based selecting the best resource node in computational grid. Our node selection method is based on the CPU capacity, communication bandwidth and memory and disk availability on the resource nodes. The goal of this paper is to enable the automatically select the best available resource node on the network for execution within a reasonable time. In this paper, random data is used to test the validity of proposed method. The result showed that this method can provide the suitable probability of the best resource selection.