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Predicting Compliance of WSLA Contracts Using Automated Model Creation

Lookup NU author(s): Dr Rouaa Yassin Kassab, Professor Aad van Moorsel



Service level agreements (SLAs) are designed to be monitorable contracts between a provider and consumer of a service. It is of interest to determine if such SLAs can also be used as input to a predictive model, e.g., a discrete-event stochastic model. For that purpose we study in this paper WSLA, the web service level agreement language, an SLA specification language tailored to web services. We provide a mapping from WSLA to metrics defined in the discrete event stochastic modeling formalism SDES (stochastic discrete event systems). We provide extensions to the commonly used SPNP tool to automate much of this process, such that given a WSLA document, the mapped SDES metrics can be derived automatically as much as possible. We will specify precisely what the modeler inputs during this process, and demonstrate the use of our tool for WSLA compliance prediction.

Publication metadata

Author(s): Yassin Kassab R, van Moorsel A

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2010

Pages: 13

Print publication date: 01/06/2010

Source Publication Date: June 2010

Report Number: 1204

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne