Preference-aware QoS evaluation for Cloud web service composition based on artificial neural networks

Xuyun Zhang*, Wanchun Dou

*Corresponding author for this work

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

10 Citations (Scopus)

Abstract

Since QoS properties play an increasingly important role during the procedure of web service composition in Cloud environment, they have obtained great interests in both research community and IT domain. Yet evaluating the comprehensive QoS values of composite services in accord with the consumers' preferences is still a significant but challenging problem due to the subjectivity of consumers. Since reflecting preference by the explicit weights assigned for each criterion is quite arduous, this paper proposes a global QoS-driven evaluation method based on artificial neural networks, aiming at facilitating the web service composition without preference weights. As well as this, a prototype composition system is developed to bolster the execution of proposed approach.

Original languageEnglish
Title of host publicationWeb Information Systems and Mining
Subtitle of host publicationInternational Conference, WISM 2010, Proceedings
EditorsFu Lee Wang, Zhiguo Gong, Xiangfeng Luo, Jingsheng Lei
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages410-417
Number of pages8
ISBN (Electronic)9783642165153
ISBN (Print)9783642165146
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Web Information Systems and Mining - Sanya
Duration: 23 Oct 201024 Oct 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6318
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Web Information Systems and Mining
CitySanya
Period23/10/1024/10/10

Keywords

  • Cloud
  • web services composition
  • QoS
  • preference
  • artificial neural networks

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