Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
Enhancing an IaaS Ontology Clustering Scheme for Resiliency Support in Hybrid Cloud
verfasst von : Toshihiro Uchibayashi, Bernady Apduhan, Kazutoshi Niiho, Takuo Suganuma, Norio Shiratori
Erschienen in: Computational Science and Its Applications -- ICCSA 2016
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.