A Trust Evaluation Model for Cloud Computing
Cloud computing is a new paradigm in which dynamically scalable virtualized computing resources are provided as a service over the Internet. However, since resources are limited, it is very important that cloud providers efficiently provide their resources. This paper presents a trust model for efficient reconfiguration and allocation of computing resources satisfying various user requests. Our model collects and analyzes reliability based on historical information of servers in a Cloud data center. Then it prepares the best available resources for each service request in advance, providing the best resources to users. We also carried out experiments for reliability analysis with 4 data types, including an all data set, random data set, recent data set, and the data set within a standard deviation. As a result, using our trust model, cloud providers can utilize their resources efficiently and also provide highly trusted resources and services to many users.
KeywordsCloud Computing Virtualization Trust Model Grid Computing
Unable to display preview. Download preview PDF.
- 1.Buyya, R., Yeo, C.S., Venugopal, S.: Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities. In: Proc. of the 10th IEEE International Conference on High Performance Computing and Communications (2008)Google Scholar
- 2.Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A Break in the Clouds: Towards a Cloud Definition. In: ACM SIGCOMM Computer Communication Review, vol. 39(1) (2009)Google Scholar
- 3.Li, H., Sedayao, J., Hahn-Steichen, J., Jimison, E., Spence, C., Chahal, S.: Developing an Enterprise Cloud Computing Strategy. Korea Information Processing Society Review (2009)Google Scholar
- 4.Vouk, M.A.: Cloud computing — Issues, research and implementations, Information Technology Interfaces. In: 30th International Conference (ITI 2008), pp. 31–40 (2008)Google Scholar
- 5.Hofmann, T.: Probabilistic Latent Semantic Indexing. In: Proceedings of the Twenty-Second Annual International SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 (1999)Google Scholar
- 6.Kwiecień, A., Kwiatkowski, J., Pawlik, M., Konieczny, D.: Performance Prediction Methods. In: Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 363–370 (2006) Google Scholar
- 7.Petri Nets World, http://www.informatik.uni-hamburg.de/TGI/PetriNets/
- 9.Gokhale, S.S., Trivedi, K.S.: Analytical Models for Architecture-Based Software Reliability Prediction: A Unification Framework. IEEE Transactions 55(4), 578–590 (2006)Google Scholar