Service composition with pareto-optimality of time-dependent QoS attributes

Benjamin Klöpper, Fuyuki Ishikawa, Shinichi Honiden

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

14 Citations (Scopus)

Abstract

Quality of Services (QoS) plays an essential role in realizing user tasks by service composition. Most QoS-aware service composition approaches have ignored the fact that QoS values can depend on the time of execution. Common QoS attributes such as response time may depend for instance on daytime, due to access tendency or conditional Service of Level Agreements. Application-specific QoS attributes often have tight relationships with the current state of resources, such as availability of hotel rooms. In response to these problems, this paper proposes an integrated multi-objective approach to QoS-aware service composition and selection.

Original languageEnglish
Title of host publicationService-Oriented Computing - 8th International Conference, ICSOC 2010, Proceedings
Pages635-640
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event8th International Conference on Service Oriented Computing, ICSOC 2010 - San Francisco, CA, United States
Duration: 2010 Dec 72010 Dec 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6470 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Service Oriented Computing, ICSOC 2010
CountryUnited States
CitySan Francisco, CA
Period10/12/710/12/10

Keywords

  • Multi-objective Optimization
  • Service Composition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Klöpper, B., Ishikawa, F., & Honiden, S. (2010). Service composition with pareto-optimality of time-dependent QoS attributes. In Service-Oriented Computing - 8th International Conference, ICSOC 2010, Proceedings (pp. 635-640). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6470 LNCS). https://doi.org/10.1007/978-3-642-17358-5_49