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Trustworthy cloud service provider selection using multi criteria decision making methods

Publication Type : Journal Article

Thematic Areas : Wireless Network and Application

Publisher : Engineering Letters.

Source : Engineering Letters, International Association of Engineers, Volume 24, Number 1, p.1-10 (2016)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84959375165&partnerID=40&md5=591ef24c9a22cf171ebcd0b6c36ce73f

Keywords : Analytic method, Cloud service providers, decision making, Distributed computer systems, Distributed database systems, Fuzzy, Fuzzy methods, Multi-criteria decision making methods, Multiple criteria decision making, Ranking system, Service provider, Trusted computing .

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Wireless Networks and Applications (AWNA), Computer Science

Year : 2016

Abstract : Cloud Computing is a specialized form of Distributed computing in which the resources such as storage, processors, memory etc. are completely abstracted from the consumer. The number of Cloud Service Providers (CSPs) who offer computing as a service has increased in recent times and often the customers need to interact with unknown service providers to carry out transactions. In such an open and anonymous environments, trust helps to build consumer confidence and provides a reliable environment for them. A trust based ranking system could also help them to choose between the services as per their requirement. In this paper, multi criteria decision making methods have been used to rank the service providers based on their infrastructure parameters. A combination of analytic and fuzzy method gives a better trust estimate as compared to an analytic method alone. © 2016, Newswood Ltd. All rights reserved.

Cite this Research Publication : Dr. Supriya M., Sangeeta, Ka, and Patra, G. Kb, “Trustworthy cloud service provider selection using multi criteria decision making methods”, Engineering Letters, vol. 24, pp. 1-10, 2016.

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