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Identifier 000342565
Title Monitoring the QoS of web services using SLAs-computing metrics for composed services
Alternative Title Παρακολούθηση των QoS χαρακτηριστικών των ηλεκτρονικών υπηρεσιών - Υπολογισμός μετρικών σε σύνθετες υπηρεσίες
Author Ζεγκίνης, Χρυσόστομος
Thesis advisor Πλεξουσάκης, Δημήτρης
Abstract The Web services are an emerging technology which attracts a lot of attention from both academic and industry areas the recent years. Once Web services become operational, their execution needs to be managed and monitored to gain a clear view of how services perform within their operational environment, make management decisions and perform control actions to modify and adjust their behavior. Many approaches have been proposed and have proven that Web services’ monitoring is very crucial for successful invocations. This thesis analyzes the methods we can use to monitor the execution of a Web service, in order to comply with the corresponding Service Level Agreement (SLAs) and the ways we can compute various metrics for composed services, having available the metric values of the constituent Web services. Nowadays, almost all Web service providers sign SLA contracts with their clients to guarantee the offered quality of their services. A monitoring system is introduced to check violations in the pre-agreed metric values of SLAs. These results can be very helpful for service providers, who can then take corrective actions to improve their services.
As far as the computation of QoS for composed Web services is concerned, this thesis proposes some basic metric types, providing we know the composition pattern. Based on this, appropriate types are used to compute the response time, the throughput, the reliability and the cost of the composed Web services. The validity of these types is verified with experimental results.
In summary, the contribution of this work lies in introducing a monitoring system, intended to check the Web services’ compliance with SLAs, as well as in computing metrics for composed Web services.
Language English
Issue date 2009-04-02
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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