TY - GEN
T1 - Enhancing an IaaS ontology clustering scheme for resiliency support in hybrid cloud
AU - Uchibayashi, Toshihiro
AU - Apduhan, Bernady
AU - Niiho, Kazutoshi
AU - Suganuma, Takuo
AU - Shiratori, Norio
N1 - Funding Information:
This research was supported in part by the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research 24500100.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84978271183&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978271183&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-42089-9_16
DO - 10.1007/978-3-319-42089-9_16
M3 - Conference contribution
AN - SCOPUS:84978271183
SN - 9783319420882
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 219
EP - 231
BT - Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings
A2 - Gervasi, Osvaldo
A2 - Apduhan, Bernady O.
A2 - Taniar, David
A2 - Torre, Carmelo M.
A2 - Wang, Shangguang
A2 - Misra, Sanjay
A2 - Murgante, Beniamino
A2 - Stankova, Elena
A2 - Rocha, Ana Maria A.C.
PB - Springer Verlag
T2 - 16th International Conference on Computational Science and Its Applications, ICCSA 2016
Y2 - 4 July 2016 through 7 July 2016
ER -