Towards a Cloud Ontology Clustering Mechanism to Enhance IaaS Service Discovery and Selection

  • Toshihiro Uchibayashi
  • Bernady ApduhanEmail author
  • Norio Shiratori
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9155)


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 non-uniform 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.


Ontology Agents Clustering 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Toshihiro Uchibayashi
    • 1
  • Bernady Apduhan
    • 1
    Email author
  • Norio Shiratori
    • 2
  1. 1.Faculty of Information ScienceKyushu Sangyo UniversityFukuokaJapan
  2. 2.Research Institute of Electrical CommunicationTohoku UniversitySendaiJapan

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