Towards a cloud ontology clustering mechanism to enhance Iaas service discovery and selection

Toshihiro Uchibayashi, Bernady Apduhan, Norio Shiratori

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

6 Citations (Scopus)

Abstract

The continuing advances in cloud computing technology, infrastructures, applications, and hybrid cloud have led to provide solutions to challenges in big data and high performance computing applications. The increasing number of cloud service providers offering cloud services with nonuniform descriptions has made it time consuming to find the best match service with the user’s requirements. This paper is an effort to speed up the service discovery and selection of IaaS cloud services which is „best-match“ to the user requirements. Preliminary experiments provided promising results which demonstrates the viability of the approach.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings
EditorsSanjay Misra, Bernady O. Apduhan, Beniamino Murgante, Marina L. Gavrilova, David Taniar, Osvaldo Gervasi, Sanjay Misra, Carmelo Torre, Ana Maria A.C. Rocha
PublisherSpringer Verlag
Pages545-556
Number of pages12
ISBN (Print)9783319214030
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event15th International Conference on Computational Science and Its Applications, ICCSA 2015 - Banff, Canada
Duration: 2015 Jun 222015 Jun 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9155
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Computational Science and Its Applications, ICCSA 2015
Country/TerritoryCanada
CityBanff
Period15/6/2215/6/25

Keywords

  • Agents
  • Clustering
  • Ontology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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