Semantics-based grid resource management

Abstract

Scheduling parallel and distributed applications efficiently onto grid environments is a difficult task and a great variety of scheduling heuristics have been developed aiming to address this issue. A successful grid resource allocation depends, among other things, on the quality of the available information about software artifacts and grid resources. In this paper, we propose a semantic approach to integrate selection of equivalent resources and selection of equivalent software artifacts in order to improve the schedule of resources suitable for a given set of application execution requirements. We also describe a prototype implementation of our approach based on the Integrade grid middleware and experimental results that indicate its benefits.