An Ontology-Based Framework for Hybrid Cloud Resiliency Mechanism

Toshihiro Uchibayashi, Bernady O. Apduhan, Norio Shiratori

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

Abstract

Hybrid cloud computing paradigm is gaining wide acceptance to multi-faceted IT organizations to meet the users' different sets of requirements for different types of applications. However, this can also create an array of issues, such as complex architectures, security, service provisioning in cases of resources failures/disaster, etc. To mitigate the impact and minimize trade-offs, we proposed an ontology-based framework to provide support for a resiliency mechanism in the hybrid cloud. We adopted ontology technology to provide a unified representations of cloud service names to facilitate the discovery and selection of the best-match cloud service in cases of failures. As types of cloud services evolve over time, we adopted ontology clustering to speed up the search process. Preliminary experiment results provided promising results.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016
EditorsKevin I-Kai Wang, Qun Jin, Md Zakirul Alam Bhuiyan, Qingchen Zhang, Ching-Hsien Hsu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages454-458
Number of pages5
ISBN (Electronic)9781509040650
DOIs
Publication statusPublished - Oct 11 2016
Externally publishedYes
Event14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 - Auckland, New Zealand
Duration: Aug 8 2016Aug 10 2016

Publication series

NameProceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016

Conference

Conference14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016
CountryNew Zealand
CityAuckland
Period8/8/168/10/16

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Networks and Communications

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  • Cite this

    Uchibayashi, T., Apduhan, B. O., & Shiratori, N. (2016). An Ontology-Based Framework for Hybrid Cloud Resiliency Mechanism. In K. I-K. Wang, Q. Jin, M. Z. A. Bhuiyan, Q. Zhang, & C-H. Hsu (Eds.), Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 (pp. 454-458). [7588886] (Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.90