Enhancing an IaaS ontology clustering scheme for resiliency support in hybrid cloud

Toshihiro Uchibayashi, Bernady Apduhan, Kazutoshi Niiho, Takuo Suganuma, Norio Shiratori

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

1 Citation (Scopus)

Abstract

When an undesirable situation occurs in a hybrid cloud computing environment, vital issues arise when searching for IaaS cloud services that best-match to the user’s requirements. This includes the different descriptions/ naming of IaaS cloud services, i.e., CPU, memory, and others, adapted by different companies making it difficult and ambiguous to select the best-match cloud services. Initially, we considered utilizing ontology technology and typical clustering methods to narrow down the selection process. In this paper, we proposed an improved ontology clustering scheme and describe the methodology. Preliminary experiments shows promising results showing a fair gathering of related elements in the cluster and the speedup of processing depicting a viable resiliency support for hybrid cloud.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings
EditorsOsvaldo Gervasi, Bernady O. Apduhan, David Taniar, Carmelo M. Torre, Shangguang Wang, Sanjay Misra, Beniamino Murgante, Elena Stankova, Ana Maria A.C. Rocha
PublisherSpringer Verlag
Pages219-231
Number of pages13
ISBN (Print)9783319420882
DOIs
Publication statusPublished - Jan 1 2016
Externally publishedYes
Event16th International Conference on Computational Science and Its Applications, ICCSA 2016 - Beijing, China
Duration: Jul 4 2016Jul 7 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9789
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Computational Science and Its Applications, ICCSA 2016
CountryChina
CityBeijing
Period7/4/167/7/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Uchibayashi, T., Apduhan, B., Niiho, K., Suganuma, T., & Shiratori, N. (2016). Enhancing an IaaS ontology clustering scheme for resiliency support in hybrid cloud. In O. Gervasi, B. O. Apduhan, D. Taniar, C. M. Torre, S. Wang, S. Misra, B. Murgante, E. Stankova, & A. M. A. C. Rocha (Eds.), Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings (pp. 219-231). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9789). Springer Verlag. https://doi.org/10.1007/978-3-319-42089-9_16