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A Self-Managing Brokerage Model for Quality Assurance in Service-Oriented Systems

Robinson, D. and Kotonya, G. (2008) A Self-Managing Brokerage Model for Quality Assurance in Service-Oriented Systems. In: High Assurance Systems Engineering Symposium, 2008. HASE 2008. 11th IEEE :. IEEE, 424 -433. ISBN 978-0-7695-3482-4

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Service-oriented system quality is not just a function of the quality of a provided service, but the interdependencies between services, the resource constraints of the runtime environment and network outages. This makes it difficult to anticipate how the consequences of these factors might influence system behaviour, which in turn makes it difficult to specify the right system environment in advance. Current quality management schemes for service-oriented systems are inadequate for assuring system quality as they rely largely on static service properties to predict system quality. Secondly, they offer the consumer only limited control over the quality of service. This paper describes a self-managing, consumer-centred approach based on a brokerage architecture that allows different monitoring, negotiation, forecasting and provider reputation schemes to be integrated into a runtime quality assurance framework for service-oriented systems. We illustrate our solution with a small service-oriented application.

Item Type: Contribution in Book/Report/Proceedings
Uncontrolled Keywords: brokerage architecture ; consumer-centred approach ; forecasting scheme ; monitoring scheme ; negotiation scheme ; network outages ; provider reputation scheme ; quality assurance ; quality of service ; runtime environment ; self-managing brokerage model ; service interdependencies ; service-oriented systems ; forecasting theory ; software architecture ; software management ; software quality ; system monitoring
Subjects: ?? hb ??
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Departments: Lancaster University Management School > Lancaster University Management School - Other > Centre for e-Science
Faculty of Science and Technology > School of Computing & Communications
ID Code: 53784
Deposited By: ep_importer_pure
Deposited On: 30 Apr 2012 16:44
Refereed?: No
Published?: Published
Last Modified: 07 Aug 2018 06:13
Identification Number:

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