Autonomous Semantic Grid: Principles of Autonomous Decentralized Systems for Grid Computing

Muhammad Omair SHAFIQ   Hafiz Farooq AHMAD   Hiroki SUGURI   Arshad ALI   

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.12   pp.2640-2650
Publication Date: 2005/12/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (IEICE/IEEE Joint Special Section on Autonomous Decentralized Systems)
Category: 
Keyword: 
autonomy ,  semantics ,  grid computing ,  agents ,  

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Summary: 
Grid computing is an open, heterogeneous and highly dynamic environment based on the principles of service oriented computing. It focuses on basic infrastructure for coordinated resource sharing among virtual organizations to achieve high performance and availability. However, use of existing Grid computing environment is quite complex and requires a lot of human intervention. In order to avoid this intervention, enhancements are required in bringing autonomy and semantics in existing Grid infrastructure. Semantics would act as glue for autonomy in the process of efficient resource discovery and utilization. Several ontologies and ontology languages have been proposed in this regard which not only have some shortcoming but also poses a sort of overhead for the Grid environment. On the other hand, agents are autonomous problem solving entities, and can negotiate semantically for interoperation with each other in dynamic environments. Inspired from the concept of Autonomous Decentralized Systems, we propose that the above mentioned goals can be achieved by integrating FIPA Multi Agent Systems with the Grid Service Architecture and hence to lay the foundation for Autonomous Semantic Grid. Autonomous Semantic Grid system architecture is aimed to provide an improved infrastructure by bringing autonomy, semantic interoperability and decentralization in the Grid computing for emerging applications. This paper then presents implementation details of first milestone toward Autonomous Semantic Grid realization based on a middleware, namely AgentWeb Gateway for integration of Multi Agent Systems and Grid Service Architecture. Evaluation of the system has also been performed over a number of application scenarios.