Abstract
The paper presents an approach to rank various Cloud-Service providers (CSPs) on the basis of four parameters, namely, Reliability, Performance, Security and Usability, using a combination of Likert scale, Fuzzy logic and Analytic Hierarchy Process (AHP). The CSPs have been ranked using data collected through a survey of cloud computing users. The purpose of this paper is to help provide a technique through which various CSPs can be ranked on the basis of a number of parameters keeping in mind the users’ perceptions. We have chosen fuzzy logic because it has the capability to model the vague and imprecise information provided by the users and can handle the uncertainty involved. Similarly, AHP has been chosen because of its ability to make complex decisions on the basis of mathematics and psychology. The proposed model derives its strength from the fact that it takes into account the uncertainty and dilemma involved in decision-making.
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References
Liu, F., Tong, J., Mao, J., Bohn, R., Messina, J., Badger, L., Leaf, D.: NIST Cloud Computing Reference Architecture. Recommendations of the National Institute of Standards and Technology. Special Publication 500-292, Gaithersburg (2011)
Garg, S.K., Versteeg, S., Buyya, R.: SMICloud: a framework for comparing and ranking cloud services. In: Proceedings of the Fourth IEEE International Conference on Utility and Cloud Computing, pp. 210–218. (2011). doi:10.1109/UCC.2011.36
Zheng, Z., Wu, X., Zhang, Y., Lyu, M.R., Wang, J.: QoS ranking prediction for cloud services. IEEE Trans. Parallel Distrib. Syst. 24(6), 1213–1222 (2013). doi:10.1109/TPDS.2012.285
Sundareswaran, S., Squicciarini, A., Lin, D.: A brokerage-based approach for cloud service selection. In: Proceedings of the IEEE Fifth International Conference on Cloud Computing, pp. 558–565. (2012). doi:10.1109/CLOUD.2012.119
Garg, S.K., Versteeg, S., Buyya, R.: A framework for ranking of cloud computing services. Future Gener. Comput. Syst. 29(4), 1012–1023 (2013). doi:10.1016/j.future.2012.06.006
Patiniotakis, I., Rizou, S., Verginadis, Y., Mentzas, G.: Managing imprecise criteria in cloud service ranking with a fuzzy multi-criteria decision making method. In: Service-Oriented and Cloud Computing, pp. 34–48. (2013). doi:10.1007/978-3-642-40651-5_4
Jahani, A., Khanli, L.M., Razavi, S.N.:W_SR: A QoS based ranking approach for cloud computing service. Comput. Eng. Appl. J. 3(2), 55–62 (2014). ISSN:2252-5459
Rehman, Z., Hussain, O.K., Hussain, F.K.: Parallel cloud service selection and ranking based on QoS history. Int. J. Parallel Prog. 42(5), 820–852 (2014). doi:10.1007/s10766-013-0276-3
Kumar, G.P., Morarjee, K.: Ranking prediction for cloud services from the past usages. Int. J. Comput. Sci. Eng. 2(9), 22–25 (2014). E-ISSN:2347-2693
Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008). doi:10.1504/IJSSCI.2008.017590
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I sincerely thank all those people who helped me in completing this research paper.
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Chahal, R.K., Singh, S. (2016). Fuzzy Logic and AHP-Based Ranking of Cloud Service Providers. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 1. Advances in Intelligent Systems and Computing, vol 410. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2734-2_34
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DOI: https://doi.org/10.1007/978-81-322-2734-2_34
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