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Resource Management Using Virtual Ontologies for Scientific Applications

Authors :
Hyunjeong Yoo
Cinyoung Hur
Seoyoung Kim
Yoonhee Kim
Source :
Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications.
Publication Year :
2009
Publisher :
IEEE, 2009.

Abstract

Cloud computing has recently paid attention as a way to share the resources to provide scalable and on-demand services. Across various authorities, Cloud resources should be configured to a virtual organization(VO) according to user's requirements. Ontology-based representation of Cloud computing environment would be able to conceptualize common attributes among Cloud resources and to represent semantic relations among them. However, mutual compatibility among different VOs is limited because a method applying ontology to Cloud is in progress. We propose to introduce a resource virtualization method using virtual ontology. A new Virtual Ontology (VOn) is configured dynamically based on requirement of users, and the VOn is mapped to actual Cloud resources. Our service uses a Map/Reduce model for rapid and efficient merging a number of ontology. The execution environment is orchestrated with selected resources mapped to the VOn, which is generated by Ontology Merge engine. research is at an early stage and is hard to provide interoperability among organizations because of merging resources from only static concepts in existed researches. In the paper (9), they propose a Semantically-Enhanced Resource Allocator (SERA) which is a scheduling system using customer requests and provides the ability of re-scheduling requests based on their priorities and considering advanced reservations. Nevertheless, the experiment is too limited to prove the proposed concept. The characteristics of target applications are not considered. In this paper, we propose an Ontology-based Resource Selection Service (OReSS) which provides a method of resource virtualization using merged ontologies which is interoperable among virtual organizations and then selects resources based on the VOn. OReSS on Cloud computing, especially, selects ontology candidates by calculating a degree of similarity function based on user's requirements. Selected ontologies are merged and provided to a user as a new VOn.

Details

Database :
OpenAIRE
Journal :
Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications
Accession number :
edsair.doi...........b13a90785dcadc0fe1181b8e5aa09d73
Full Text :
https://doi.org/10.1109/icut.2009.5405670