Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
An Ontology-Based Resource Selection Service on Science Cloud
verfasst von : Hyunjeong Yoo, Cinyoung Hur, Seoyoung Kim, Yoonhee Kim
Erschienen in: Grid and Distributed Computing
Verlag: Springer Berlin Heidelberg
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
Cloud computing requires scalable and cooperative sharing the resources in various organizations by dynamic configuring a virtual organization according to user’s requirements. Ontology-based representation of Cloud computing environment would be able to conceptualize common attributes among Cloud resources and to describe relations among them semantically. However, mutual compatibility among organizations is limited because a method applying ontology to Cloud is not established yet.
We propose to introduce a resource virtualization method using ontology. A new Virtual Ontology (VOn) is configured dynamically based on requirement of users, and the VOn is mapped to Cloud resources. Our service uses a Map/Reduce model for rapid and efficient merging a number of ontology. The execution environment is composed of selected resources on basis of a VOn, which is generated by Ontology Merge engine.