Agent-based user-adaptive service provision in ubiquitous systems

H. Saddiki, H. Harroud, A. Karmouch

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

Abstract

With the increasing availability of smartphones, tablets and other computing devices, technology consumers have grown accustomed to performing all of their computing tasks anytime, anywhere and on any device. There is a greater need to support ubiquitous connectivity and accommodate users by providing software as network-accessible services. In this paper, we propose a MAS-based approach to adaptive service composition and provision that automates the selection and execution of a suitable composition plan for a given service. With agents capable of autonomous and intelligent behavior, the composition plan is selected in a dynamic negotiation driven by a utility-based decision-making mechanism; and the composite service is built by a coalition of agents each providing a component necessary to the target service. The same service can be built in variations for catering to dynamic user contexts and further personalizing the user experience. Also multiple services can be grouped to satisfy new user needs.

Original languageEnglish (US)
Title of host publicationProceedings of the Sixth Global Conference on Power Control and Optimization
Pages379-385
Number of pages7
DOIs
StatePublished - 2012
Event6th Global Conference on Power Control and Optimization, PCO 2012 - Las Vegas, NV, United States
Duration: Aug 6 2012Aug 8 2012

Publication series

NameAIP Conference Proceedings
Volume1499
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other6th Global Conference on Power Control and Optimization, PCO 2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/6/128/8/12

Keywords

  • multi-agent system
  • service composition
  • user-adaptive service

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Plant Science
  • General Physics and Astronomy
  • Nature and Landscape Conservation

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