A self-healing framework for QoS-aware web service composition via case-based reasoning

Guoqiang Li, Lejian Liao, Dandan Song*, Jingang Wang, Fuzhen Sun, Guangcheng Liang

*Corresponding author for this work

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

17 Citations (Scopus)

Abstract

The self-healing ability is very important for service-oriented systems in a highly dynamic environment. Case-based reasoning is adopted to cope with the component services failing to meet with the functional and nonfunctional requirements in this paper. We take previous failure instances as cases which are stored in a case base. When a new fault occurs, its symptoms are extracted and matched against the case base to look for the most similar case. A case representation and a similarity function are proposed. Meanwhile, a novel reuse approach is designed to find the solutions satisfying the symptoms. Moreover we present a self-healing framework and conduct experiments with real QoS dataset. Experimental results show that case-based reasoning improves the self-healing ability encouragingly.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Proceedings
Pages654-661
Number of pages8
DOIs
Publication statusPublished - 2013
Event15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013 - Sydney, NSW, Australia
Duration: 4 Apr 20136 Apr 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7808 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013
Country/TerritoryAustralia
CitySydney, NSW
Period4/04/136/04/13

Keywords

  • Quality of Service
  • case-based reasoning
  • self-healing framework
  • web service

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