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QoS-aware complex event service composition and optimization using genetic algorithms

  • Feng Gao
  • , Edward Curry
  • , Muhammad Intizar Ali
  • , Sami Bhiri
  • , Alessandra Mileo

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

21 Citations (Scopus)

Abstract

The proliferation of sensor devices and services along with the advances in event processing brings many new opportunities as well as challenges. It is now possible to provide, analyze and react upon realtime, complex events about physical or social environments. When existing event services do not provide such complex events directly, an event service composition maybe required. However, it is difficult to determine which compositions best suit users’ quality-of-service requirements. In this paper, we address this issue by first providing a quality-of-service aggregation schema for event service compositions and then developing a genetic algorithm to efficiently create optimal compositions.

Original languageEnglish
Title of host publicationService-Oriented Computing - 12th International Conference, ICSOC 2014, Proceedings
EditorsXavier Franch, Aditya K. Ghose, Grace A. Lewis, Sami Bhiri
PublisherSpringer-Verlag
Pages386-393
Number of pages8
ISBN (Electronic)9783662453902
DOIs
Publication statusPublished - 2014
Event12th International Conference on Service-Oriented Computing, ICSOC 2014 - Paris, France
Duration: 3 Nov 20146 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8831
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Service-Oriented Computing, ICSOC 2014
Country/TerritoryFrance
CityParis
Period3/11/146/11/14

Keywords

  • Event service composition
  • Genetic algorithm
  • Quality-ofservice

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