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Agent Design of SmArt License Management System Using Gaia Methodology

Qian Zhao, Yu Zhou, Mark Perry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Modern software services and data centers require a license management system to regulate the agreements that have been reached between subscriber and provider. License management helps to track usage and protect service from abuse. License agreements provide the basis for enforcement and regulation. The automation of license agreements is desired by providers and subscribers to improve transaction efficiency, give flexibility, and minimize unwanted cost. We have proposed a framework, called SmArt (semantic agreement) system, that enables agreement automation in the autonomic computing context using ontology and agent technologies. This paper applies the SmArt system to the domain of license management and presents its agent design with Gaia methodology.
Original languageEnglish
Title of host publicationThird International Conference on Autonomic and Autonomous Systems (ICAS'07)
EditorsJosé Neuman de Souza, Cosmin Dini, Larbi Esmahi, Dominic Greenwood, Vic Grout, Abdelhamid Mellouk, Sven van der Meer
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-7
ISBN (Print)9780769527994, 076952799X
DOIs
Publication statusPublished - 2007
EventICAS 2007: 3rd International Conference on Autonomic and Autonomous Systems - Athens, Greece
Duration: 19 Jun 200725 Jun 2007

Conference

ConferenceICAS 2007: 3rd International Conference on Autonomic and Autonomous Systems
CityAthens, Greece
Period19/06/0725/06/07

Keywords

  • Law
  • Expert Systems

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