Web service instances are often replicated to allow service provision to scale to support larger population sizes of users. However, such systems are difficult to analyse because the scale and complexity inherent in the system itself poses challenges for accurate qualitative or quantitative modelling. We use two process calculi cooperatively in the analysis of an example Web service replicated across many servers. The SOCK calculus is used to model service-oriented aspects closely and the PEPA calculus is used to analyse the performance of the system under increasing load.
Replicating Web Services for Scalability / M. Bravetti; S. Gilmore; C. Guidi; M. Tribastone. - STAMPA. - 4912:(2008), pp. 204-221. (Intervento presentato al convegno Symposium on Trustworthy Global Computing 2007 tenutosi a Sophia-Antipolis, France nel November 5-6, 2007) [10.1007/978-3-540-78663-4].
Replicating Web Services for Scalability
BRAVETTI, MARIO;GUIDI, CLAUDIO;
2008
Abstract
Web service instances are often replicated to allow service provision to scale to support larger population sizes of users. However, such systems are difficult to analyse because the scale and complexity inherent in the system itself poses challenges for accurate qualitative or quantitative modelling. We use two process calculi cooperatively in the analysis of an example Web service replicated across many servers. The SOCK calculus is used to model service-oriented aspects closely and the PEPA calculus is used to analyse the performance of the system under increasing load.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
