Mobile agents self-optimization with MAWeS

Authors:
Emilio Pasquale Mancini;Massimiliano Rak;Salvatore Venticinque;Umberto Villano
Affiliations:
Università del Sannio, Benevento, Italy;Seconda Università di Napoli, Aversa, CE, Italy;Seconda Università di Napoli, Aversa, CE, Italy;Università del Sannio, Benevento, Italy
Venue:
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Year:
2006

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Abstract

In mobile agents systems, classical techniques for system optimization are not applicable due to continuous changes of the execution contexts. MAWeS (MetaPL/HeSSE Autonomic Web Services) is a framework whose aim is to support the development of self-optimizing autonomic systems for Web service architectures. In this paper we apply the autonomic approach to the reconfiguration of agent-based applications. The enrichment of the Aglet Workbench with a Web Services interface is described, along with the extensions to the MAWeS framework needed to support the mobile agents programming paradigm. Then a mobile agents application solving the N-Body problem is presented as a case study.