Grid resource discovery mechanism based on resource clustering

Abstract

GRDS (Grid Resource Discovery Service) is one of the basic services in grid system, it provides a main way to query and locate the interested information, and the QoS (Quality of Service) of GRDS decides whether users may use information efficiently. In order to improve resource discovery efficiency and distinguish users' difference in dynamic and heterogeneous grid environment, a new GRDS based on resource clustering (GRDS-RC) is presented in this paper. Firstly, GRDS-RC is divided into some peer-to-peer virtual community (P2PVC), and every P2PVC may execute the discovery function parallel. Secondly, resource clustering is defined by introducing similarity measure method, and every P2PVC is constructed according to the results of resource clustering. Thirdly, to reduce the overhead of query, query router algorithm is proposed. The simulation results show that GRIS-CR can improve the performance of grid and satisfy users' demand.