Genetic algorithm in resource provider selection for personal live content delivery in user-provided platform

Joseph C.H. So, Po Choi Wong

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

Abstract

Providing the personal live content delivery service using end user provided network resource is useful in many application situations due to its fast deployment. Together with service level agreement, the platform has to acquire sufficient network resources. Such resource acquisition can be realized by remuneration schemes for resource providers. From the perspective of service operators, selecting providers that effectively fulfilling SLA and efficiently reducing costs are their primary goals. We illustrate the feasibility of deploying Genetic Algorithms in searching resource providers economically. Our simulations showed that the effectiveness in satisfying the commitment on the resource provision stated in SLA and minimizing the related costs is highly related to its coding method and sensitive to the penalty factor. We find that the systematic choice of binary coding can improve the effectiveness of cost optimization in GA-based resource search.

Original languageEnglish
Title of host publicationProc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
Pages1748-1754
Number of pages7
DOIs
Publication statusPublished - 2012
Event11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - Liverpool, United Kingdom
Duration: 25 Jun 201227 Jun 2012

Publication series

NameProc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012

Conference

Conference11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012
Country/TerritoryUnited Kingdom
CityLiverpool
Period25/06/1227/06/12

Keywords

  • content distribution
  • Genetic Algorithm
  • Peer-to-peer network
  • resource acquisition

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