Designing Self-Adaptive Service-Oriented Applications
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SINTESI
The integration of third-party web services helps solve complex business problems and reduce risks, costs and time-to-market. However, the task of the integrators is challenged by services that are maintained by di?erent organizations, and may evolve dynamically and autonomously. The impossibility of statically determining which service implementation will be bound at runtime may lead to unexpected failures. This paper presents a novel approach for designing self-adaptive service oriented applications, which autonomously react to changes in the implementation of the services, automatically detect possible integration mismatches, and dynamically execute suitable adaptation strategies. The solution proposed in this paper, is based on a runtime infrastructure that automatically tests remote web services, uses test results to diagnose service mismatches, and executes adaptation strategies to overcome the revealed problems without user intervention. The integration of third-party web services helps solve complex business problems and reduce risks, costs and time-to-market. However, the task of the integrators is challenged by services that are maintained by di?erent organizations, and may evolve dynamically and autonomously. The impossibility of statically determining which service implementation will be bound at runtime may lead to unexpected failures. This paper presents a novel approach for designing self-adaptive service oriented applications, which autonomously react to changes in the implementation of the services, automatically detect possible integration mismatches, and dynamically execute suitable adaptation strategies. The solution proposed in this paper, is based on a runtime infrastructure that automatically tests remote web services, uses test results to diagnose service mismatches, and executes adaptation strategies to overcome the revealed problems without user intervention. Giovanni Denaro è docente presso la Facoltà di Scienze matematiche, fisiche e naturali dell’Università degli Studi di Milano–Bicocca.Mauro Pezzè è docente presso la Facoltà di Scienze matematiche, fisiche e naturali dell’Università degli Studi di Milano–Bicocca.Davide Tosi ha conseguito il dottorato presso la Facoltà di Scienze matematiche, fisiche e naturali dell’Università degli Studi di Milano–Bicocca.
pagine: 32
formato: 17 x 24
ISBN: 978-88-548-0946-8
data pubblicazione: Gennaio 2007
editore: Aracne
collana: QD quaderni | 4
SINTESI
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