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Reseach Article

Ontology based Cloud Framework

Published on July 2012 by Abhishek Kaushik, Inderveer Chana
Advanced Computing and Communication Technologies for HPC Applications
Foundation of Computer Science USA
ACCTHPCA - Number 1
July 2012
Authors: Abhishek Kaushik, Inderveer Chana
56fa848a-ae98-4329-8ff1-309c2451f26e

Abhishek Kaushik, Inderveer Chana . Ontology based Cloud Framework. Advanced Computing and Communication Technologies for HPC Applications. ACCTHPCA, 1 (July 2012), 37-41.

@article{
author = { Abhishek Kaushik, Inderveer Chana },
title = { Ontology based Cloud Framework },
journal = { Advanced Computing and Communication Technologies for HPC Applications },
issue_date = { July 2012 },
volume = { ACCTHPCA },
number = { 1 },
month = { July },
year = { 2012 },
issn = 0975-8887,
pages = { 37-41 },
numpages = 5,
url = { /specialissues/accthpca/number1/7554-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Advanced Computing and Communication Technologies for HPC Applications
%A Abhishek Kaushik
%A Inderveer Chana
%T Ontology based Cloud Framework
%J Advanced Computing and Communication Technologies for HPC Applications
%@ 0975-8887
%V ACCTHPCA
%N 1
%P 37-41
%D 2012
%I International Journal of Computer Applications
Abstract

The fluctuating demands of software and hardware IT infrastructure have resulted in Cloud Computing to be the fastest growing trend in the Information Technology industry. From a business perspective, organizations adopt cloud computing as they no longer need to buy or maintain expensive and energy-draining equipments. IT administration including licensing issues, software updates and IT security management, all are taken care by the cloud service provider. Removal of this administrative burden allows organizations to concentrate on their core business and be more productive. These characteristics have increased Cloud Computing market share but along with the complexity of cloud has also increased. Now it has becomes more difficult to develop an efficient and highly flexible cloud platform. As web is moving towards Web 2. 0 (Semantic Web), it is shifting towards representing things as per their meaning (semantic representation). Cloud Computing is totally based on internet for any possible functioning. It thus becomes mandatory for cloud computing to adopt itself according to the future trends. This paper presents an Ontology based Cloud Framework. The framework demonstrates that by using ontology based architecture cloud can be easily accessed and updated using semantic web queries and the administrative burden of the cloud provide can be reduced considerably.

References
  1. Borenstein, N. and Blake, J. . Cloud Computing Standards: Where's the Beef?,
  2. Semantic Web Available at: http://www. w3. org/standards/semanticweb/
  3. Youseff, L. , Butrico M. and Silva, D. D. 2008. Towards United Ontology of Cloud Computing. Grid Computing Environments Workshop. GCE'08. pp 1-10.
  4. Ma, Y. B. , Jang S. and Lee, J. S. 2011. Ontology-Based Resource Management for Cloud Computing. In proceedings of ACIIDS(2). PP 343-352.
  5. Takahashi, T. , Kadobayashi, Y. and Fujiwara, H. 2010. Ontological Approach toward Cybersecurity in Cloud Computing. Proceeding SIN '10 Proceedings of the 3rd international conference on Security of information and networks. ACM. New York, NY, USA.
  6. Han, T. and Sim, K. M. 2010. An Ontology-enhanced Cloud Service Discovery System. In proceedings of International MultiConference of Engineers and Computer Scientists vol. 1. IMECS 2010, March 17-19, 2010 Hong Kong.
  7. Feel, H. T. , Khafagy, M. H. 2011. First International Symposium on Network Cloud Computing and Applications (NCCA). pp 9-13.
  8. Gruber, T. R. 1995. Towards principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies vol. 43: 907-928
  9. Choi, K. S. , Kaist and Daejeon. 2007. IT Ontology and Semantic Technology. International Conference on Natural Language Processing nd Knowledge Engineering. NLP-KE 2007. PP 14-15.
  10. Maniraj and Sivakumar, R. 2010. Ontology Languages – A Review. International Journal of Computer Theory and Engineering. Vol. 2. No. 6 (Dec-2010) 1793-8201.
  11. Aref, M. M. and Zhou, Z. 2005. The Ontology Web Language (OWL) For A Multi-Agent Understating system. In proceedings of International Conference on Integration of Knowledge Intensive Multi-Agent Systems. PP 586-591.
  12. Zhihong, Z. and Mingtian, Z. 2003. Web Ontology Language OWL and its Description Logic Foundation. In proceedings of The Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies. PDCAT. PP 157-160.
  13. Horridge, M. , Drummond, N. , Goodwin, J. , Rector, A. , Robert Stevens, R. and Wang, H. H. 2006. The Manchester OWL Syntax. CEUR-WS. org, Vol. 216, PP 10-11.
  14. Sure, Y. , Staab, S. , Erdmann, M. , Angele, J. , Studer, R. and Wenke, D. 2002. OntoEdit: Collaborative ontology development for the semantic web. Proceedings of ISWC2002. 221-235.
  15. Corcho, O. , Fernandez-Lopez, M. , Gomez-Perez, A. and Vicente, O. 2002. WebODE: An Integrated Workbench for Ontology Representation, Reasoning and Exchange, Prof. of EKAW2002. Springer LNAI 2473 (2002) 138-153.
  16. Protégé Available at: http://protege. stanford. edu/
  17. Patel, P. , Ranabahu, A. and Sheth, A. 2009. Service Level Agreement in Cloud Computing. Wright State University (Sept. 5. 2009).
  18. Ying,D. 2005. The on data semantic description framework using RDF/XML, First International Conference on Semantics, Knowledge and Grid. SKG '05(Nov. -2005) . pp 138-138, 27-29
  19. Tudorache, T. , Vendetti, J. and F Noy N. 2008. Web-Protégé' A Lightweight OWL Ontology Editor for the Web. CEUR-WS. org vol. 8 issue. 10. PP 569
  20. SPARQL Available at: http://www. w3. org/TR/rdf-sparql-query/
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Ontology Semantic Web