TY - GEN
T1 - An Ontology-Based Framework for Hybrid Cloud Resiliency Mechanism
AU - Uchibayashi, Toshihiro
AU - Apduhan, Bernady O.
AU - Shiratori, Norio
PY - 2016/10/11
Y1 - 2016/10/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84995469446&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84995469446&partnerID=8YFLogxK
U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.90
DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.90
M3 - Conference contribution
AN - SCOPUS:84995469446
T3 - 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
SP - 454
EP - 458
BT - 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
A2 - Wang, Kevin I-Kai
A2 - Jin, Qun
A2 - Bhuiyan, Md Zakirul Alam
A2 - Zhang, Qingchen
A2 - Hsu, Ching-Hsien
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th 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
Y2 - 8 August 2016 through 10 August 2016
ER -