A general QoS error detection and diagnosis framework for accountable SOA

Soo Ho Chang, Kwei Jay Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 SituationLink 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 SituationLink.

Original languageEnglish
Title of host publicationIEEE International Conference on e-Business Engineering, ICEBE'08 - Workshops
Subtitle of host publicationAiR'08, EM2I'08, SOAIC'08, SOKM'08, BIMA'08, DKEEE'08
Pages231-238
Number of pages8
DOIs
StatePublished - 2008
Externally publishedYes
EventIEEE International Conference on e-Business Engineering, ICEBE'08 - Xi'an, China
Duration: 22 10 200824 10 2008

Publication series

NameIEEE International Conference on e-Business Engineering, ICEBE'08 - Workshops: AiR'08, EM2I'08, SOAIC'08, SOKM'08, BIMA'08, DKEEE'08

Conference

ConferenceIEEE International Conference on e-Business Engineering, ICEBE'08
Country/TerritoryChina
CityXi'an
Period22/10/0824/10/08

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