Reactive service selection in dynamic service environments

Lina Barakat*, Simon Miles, Michael Luck

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paper

5 Citations (Scopus)

Abstract

Due to the highly dynamic nature of services (web services can enter or leave the system at any time, or change their characteristics), adaptation to change during service composition is necessary to meet user needs. Yet current approaches to change handling detect quality violations and service unavailability only after their occurrence (after executing the corresponding service), resulting in undesired situations at execution time from which recovery (usually through costly replanning) might not always be possible. In response, this paper presents a novel reactive selection algorithm, which adapts to changes in the environment efficiently while performing the selection, ensuring that the selected composite service is executable, satisfactory and optimal prior to execution. The algorithm's effectiveness is demonstrated via experimental results.

Original languageEnglish
Title of host publicationService-Oriented and Cloud Computing
Subtitle of host publicationFirst European Conference, ESOCC 2012, Bertinoro, Italy, September 19-21, 2012. Proceedings
EditorsFlavio De Paoli, Ernesto Pimentel, Gianluigi Zavattaro
PublisherSpringer Berlin Heidelberg
Pages17-31
Number of pages15
ISBN (Print)9783642334269
DOIs
Publication statusPublished - 14 Sept 2012
Event1st European Conference on Service-Oriented and Cloud Computing, ESOCC 2012 - Bertinoro, United Kingdom
Duration: 19 Sept 201221 Sept 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7592 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st European Conference on Service-Oriented and Cloud Computing, ESOCC 2012
Country/TerritoryUnited Kingdom
CityBertinoro
Period19/09/201221/09/2012

Keywords

  • adaptive service selection
  • quality of service
  • service composition

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