Mobile Agents Self-optimization with MAWeS

Mancini, E P; Rak, M; Venticinque, Salvatore; Villano, U
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
Year:
2007
Type of Publication:
In Book
Keywords:
Mobile Agents; Web Services; Optimization
Volume:
4699
Pages:
1158-1167
Publisher:
Springer
Address:
BERLIN
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