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An Approach of QoS Evaluation for Web Services Design With Optimized Avoidance of SLA Violations

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  • Tue, 10/09/2018 - 10:00am - 12:00pm

An Approach of QoS Evaluation for Web Services Design With Optimized Avoidance of SLA Violations

PhD. Thesis Proposal by:

Peng Cheng

Date: Tuesday, October 9th, 2018
Time: 10:00 am - 12:00 pm
Location: 3105, Lambton Tower

Abstract: Quality of service (QoS) is an official agreement that governs the contractual commitments between service providers and consumers in respect to various non-functional features of Web services such as performance, dependability, security, etc. While more Web services are available for the construction of service-oriented software systems, QoS has become a decisive factor for service consumers to choose from those providers who provide similar services. QoS is usually documented on a service level agreement (SLA) to assure service consumers about the type and quality of services they want. In addition, SLA also defines monetary penalties in case of any violation of the written agreement. Consequently, service providers have a strong interest in keeping their commitments to avoid and reduce the situations that may cause SLA violations.

After a brief survey of related research areas, this presentation proposes a new approach of QoS evaluation in three separate yet connected phases. While a method of sensitivity analysis is developed in the first phase to identify the influential factors of a given SOA system under examination, their impact on system performance is quantitatively measured by metamodel-based analysis in the second phase. The results of analyses are then used in the third phase to search both globally and locally for near-optimal solutions via a controlled number of experiments. Details of the proposed approach will be presented with results from some preliminary experiments to demonstrate its feasibility. It is anticipated that the new approach provides a useful tool for Web service designers to improve the performance of their Web services while preventing SLA violations.

Thesis Committee:     
Internal Reader: Dr. Alioune Ngom and Dr. Dan Wu         
External Reader: Dr. Huapeng Wu 

Advisor: Dr. Xiaobu Yuan                


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