Multi Agent System-Based on Case Based Reasoning for Cloud Computing System
Year 2014,
Volume: 2 Issue: 2, 34 - 38, 01.08.2014
Amir Mohamed Talib
Nour Eldin Mohamed Elshaiekh
Abstract
Cloud Computing is a new technology which use the Internet and central remote servers in order to maintain data and applications. The aim of this paper is to describe about Case Based Reasoning (CBR) which is based on Multi Agent System (MAS) and the implementation in Cloud Computing Environment to assist the Cloud Service Provider (CSP) to deliver a number of services to the cloud users according to their needs. The Introduction Section gives an introduction about Cloud Computing, MAS and CBR Integration, and defines the characteristics and process cycle of CBR. The Second Section describes about the MAS-Based Cloud Computing. The Third Section describes about the CBR in Cloud Computing. The Fourth Section describes the CBR (MAS-Based) for Cloud Computing and Interaction between CBR Agents and components of Cloud Computing. The Final section gives a conclusion about the paper.
References
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Multi Agent System-Based on Case Based Reasoning for Cloud Computing System
Year 2014,
Volume: 2 Issue: 2, 34 - 38, 01.08.2014
Amir Mohamed Talib
Nour Eldin Mohamed Elshaiekh
References
- [1] Talib, A.M. Atan, R. Abdullah, R., and Azrifah, M. “Towards a Comprehensive Security Framework of Cloud Data Storage Based on Multi Agent System Architecture,” Journal of Information Security, Vol. 3, No. 4, 2012, pp. 295-306.
- [2] Talib, A.M. Atan, R. Abdullah, R., and Azrifah, M. “CloudZone: Towards an Integrity Layer of Cloud Data Storage Based on Multi Agent System Architecture,” Proceeding of the International Conference on Open Systems (ICOS), IEEE, 2011, pp. 127-132.
- [3] Neto, P. “Demystifying Cloud Computing,” Proceeding of Doctoral Symposium on Informatics Engineering, 2011.
- [4] Yang, J., and Chen, Z. “Cloud Computing Research and Security Issues,” IEEE, Computational Intelligence and Software Engineering (CiSE), 2010.
- [5] Talib, A.M. Atan, R. Abdullah, R., and Azrifah, M. “Security Framework of Cloud Data Storage Based on Multi Agent System Architecture-A Pilot Study,” Proceeding of the International Conference on Information Retrieval & Knowledge Management (CAMP), IEEE, 2012, pp. 54-59
- [6] Abdullah, R. Eri, Z.D., and Talib, A.M. “A Model of Knowledge Management System for Facilitating Knowledge as a Service (KaaS) in Cloud Computing Environment,” Proceeding of the International Conference on Research and Innovation in Information Systems (ICRIIS), IEEE, 2011, pp. 1-4.
- [7] Nagaiah, M.D. “Agent-Based CBR for Decision Support System,” 2011.
- [8] Althoff, K.-D. “Case-Based Reasoning,” Handbook on Software Engineering and Knowledge Engineering, Vol. 1, 2001, pp. 549-587.
- [9] Genesereth, M.R., and Ketchpel, S.P. “Software Agents,” Commun. ACM, Vol. 37, No. 7, 1994, pp. 48-53, 147.
- [10] Mouratidis, H. Giorgini, P., and Manson, G. “Modelling Secure Multiagent Systems,” Proceeding of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, ACM, 2003, pp. 859-866.
- [11] hen, B. Cheng, H.H., and Palen, J. “Integrating Mobile Agent Technology with Multi-Agent Systems for Distributed Traffic Detection and Management Systems,” Transportation Research Part C: Emerging Technologies, Vol. 17, No. 1, 2009, pp. 1-10.
- [12] Talib, A.M. Atan, R. Abdullah, R., and Azrifah, M. “Towards New Data Access Control Technique Based on Multi Agent System Architecture for Cloud Computing,” Digital Information Processing and Communications, Springer, 2011, pp. 268-279.
- [13] Talib, A.M. Atan, R. Abdullah, R., and Azrifah, M. “Ensuring Security and Availability of Cloud Data Storage Using Multi Agent System Architecture,” Knowledge Technology, 2012, pp. 343-347.
- [14] Zeng, W. Zhao, Y. Ou, K., and Song, W. “Research on Cloud storage Architecture and Key Technologies,” Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ACM, 2009, pp. 1044-1048.