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.

Resources and jobs fuzzy classification in a java based grid architecture / Guerriero, Andrea; Pasquale, C. C.; Ragni, F.. - (2009), pp. 268-272. (Intervento presentato al convegno 2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications tenutosi a Hong Kong, China nel May 11-13, 2009) [10.1109/CIMSA.2009.5069963].

Resources and jobs fuzzy classification in a java based grid architecture

GUERRIERO, Andrea;
2009-01-01

Abstract

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.
2009
2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications
9781424438204
Resources and jobs fuzzy classification in a java based grid architecture / Guerriero, Andrea; Pasquale, C. C.; Ragni, F.. - (2009), pp. 268-272. (Intervento presentato al convegno 2009 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications tenutosi a Hong Kong, China nel May 11-13, 2009) [10.1109/CIMSA.2009.5069963].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/19537
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