A hybrid diagnosis approach for QoS management in service-oriented architecture

Jing Zhang*, Zhenqiu Huang, Kwei Jay Lin

*Corresponding author for this work

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

11 Scopus citations

Abstract

Service flow in SOA systems need to detect quality of service (QoS) problems and to guarantee end-to-end performance. In previous work, we have proposed two faulty service identification methods: a dependency matrix based diagnosis and a Bayesian network based diagnosis. In this paper, we present a hybrid diagnosis to achieve high diagnosis accuracy and low diagnosis cost. The hybrid diagnosis reduces the problem size by applying dependency matrix based diagnosis result in Bayesian network and excluding services that are not critical to the end-to-end QoS from the diagnosis. Our experimental results show that the accuracy of the hybrid diagnosis is similar to the Bayesian network diagnosis yet reduces more than 90% of the diagnosis time.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 19th International Conference on Web Services, ICWS 2012
Pages82-89
Number of pages8
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE 19th International Conference on Web Services, ICWS 2012 - Honolulu, HI, United States
Duration: 24 06 201229 06 2012

Publication series

NameProceedings - 2012 IEEE 19th International Conference on Web Services, ICWS 2012

Conference

Conference2012 IEEE 19th International Conference on Web Services, ICWS 2012
Country/TerritoryUnited States
CityHonolulu, HI
Period24/06/1229/06/12

Keywords

  • Bayesian network
  • Hybrid diagnosis
  • QoS
  • dependency matrix

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