Resources and jobs fuzzy classification in a java based grid architecture

Grid computing allows integration of geographically distributed resources, belonging to different organization, to obtain huge computational power and data management capability that usually cannot be owned by a single computational system. Utilization of this powerful technology is mainly conditioned by tricky management of different architectures and environments and by the difficulty to identify an efficient resources selection to map grid task into grid resources that dynamically vary their features. In this paper we discuss the design and implementation of a network computing prototype system based on Java technology. The proposed multi level architecture uses the Agent paradigm to manage different complex architectures and fuzzy similarity measures to find the appropriate resource that meets task needs.