Abstract
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.
This work was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST)(No.2009-0084669).
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References
Nasser, B., Laborde, R., Benzekri, A., Barrère, F., Kamel, M.: Dynamic Creation of Inter-Organizational Grid Virtual Organizations. In: e-Science 2005, pp. 405–412 (2005)
Cannon, S., Chan, S., Olson, D., Tull, C., Welch, V., Pearlman, L.: Using CAS to manage Role based VO sub-groups. In: CHEP 2003 (2003)
Pernas, A.M., Dantas, M.A.R.: Using Ontology for Description of Grid Resources. In: 19th Int. Symposium on HPC Systems and Applications, Guelph, Canada, pp. 223–229 (2005)
Xing, W., Dikaiakos, M.D., Sakellariou, R.: A core grid ontology for the semantic grid. In: CCGrid 2006, Singapore, May 2006, pp. 178–184 (2006)
Lopes, J.G.R.C., Melo, A.C.M.A., Dantas, M.A.R., Ralha, C.G.: A proposal and evaluation of a mechanism for grid ontology merge. In: 20th HPCS (2006)
Youseff, L., Butrico, M., Da Silva, D.: Toward a Unified Ontology of Cloud computing. IEEE, Los Alamitos (2008)
Young, K.J.: Ontology-based Resource Selection Methods for Grid Computing, Master thesis, Sookmyung women’s university (2008)
Dean, J., Ghemawat, S.: MapReduce: Simplified Data Processing on Large Clusters. In: Proc. of the 6th Symp. on Operating Systems Design & Implementation, pp. 137–150 (2004)
Ejarque, J., de Palol, M., Goiri, I., Julia, F., Guitart, J., Torres, J., Badia, R.M.: Using Semantics for Resource Allocation in Computing Service Providers. In: IEEE, 2008 MIPS based CPU performance (2008)
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Yoo, H., Hur, C., Kim, S., Kim, Y. (2009). An Ontology-Based Resource Selection Service on Science Cloud. In: Ślęzak, D., Kim, Th., Yau, S.S., Gervasi, O., Kang, BH. (eds) Grid and Distributed Computing. GDC 2009. Communications in Computer and Information Science, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10549-4_26
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DOI: https://doi.org/10.1007/978-3-642-10549-4_26
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