Title :
A General QoS Error Detection and Diagnosis Framework for Accountable SOA
Author :
Chang, Soo Ho ; Lin, Kwei-Jay
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA
Abstract :
Accountability is a composite measure for different but related quality aspects. To be able to ensure accountability in practice, it is required to define specific quality attributes of accountability, and metrics for each quality attribute. In this paper, we propose a quality detection and diagnosis framework for the service accountability. We first identify types of quality attributes which are essential to manage QoS in accountability framework. We then present a detection and diagnosis model for problematic situations in services system. In this model, we design situation link representing dependencies among quality attributes, and provide information to detect and diagnose problems and their root causes. Based on the model, we propose an integrated model-based and case-based diagnosis method using the situation link.
Keywords :
quality of service; software architecture; software quality; QoS error detection; accountable SOA; case-based diagnosis method; diagnosis framework; integrated model-based diagnosis method; quality detection; situation link; Collaboration; Component architectures; Computer errors; Computer science; Detectors; Fault diagnosis; Medical diagnosis; Quality of service; Semiconductor optical amplifiers; Service oriented architecture; Diagnosis; QoS Detection; SOA;
Conference_Titel :
e-Business Engineering, 2008. ICEBE '08. IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3395-7
DOI :
10.1109/ICEBE.2008.117