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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