A Simulation-Based Framework for Autonomic Web Services

Authors:
Emilio Mancini;Umberto Villano;Massimiliano Rak;Roberto Torella
Affiliations:
RCOST and Dip. di Ingegneria,Universit`a del Sannio;RCOST and Dip. di Ingegneria,Universit`a del Sannio Universit`a del Sannio;Dip. di Ingegneria dellýInformazione, Seconda Universit`a di Napoli;Dip. di Ingegneria dellýInformazione, Seconda Universit`a di Napoli
Venue:
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Year:
2005

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Abstract

A possible solution to guarantee critical requirements in Web Services designs is the use of an autonomic architecture, able to auto-configure and to auto-tune. This paper presents an innovative approach for the development of selfoptimizing autonomic systems for web services architectures, based on the adoption of a simulation engine for obtaining performance predictions. MAWeS (MetaPL/HeSSE Autonomic Web Services) is a framework whose aim is to support the development of self-optimizing predictive autonomic systems for Web service architectures. It adopts a simulation-based methodology, which allows to predict system performances in different status and load conditions. The predicted results are used for a feedforward control of the system, which self-tunes before the new conditions and the subsequent performance losses are actually observed.