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.
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Mancini, E.P., Rak, M., Venticinque, S., Villano, U. (2007). Mobile Agents Self-optimization with MAWeS. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_133
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DOI: https://doi.org/10.1007/978-3-540-75755-9_133
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