Abstract
The immense popularity and rapid adoption of cloud computing has led to the emergence of various cloud service providers, offering functionally-equivalent services. This scenario complicates the identification of an appropriate and trustworthy cloud service provider with respect to the unique Quality of Service (QoS) requirement of the users. Trust based service selection approaches prove to be a prominent solution for the cloud service selection problem since trust evaluation of the cloud services exploits the intrinsic relations between the QoS attributes. This paper presents Shannon entropy based Fuzzy PROMETHEE service ranking approach for the identification of trustworthy cloud service providers. A case study using real world QoS data from Cloud Harmony demonstrates the effectiveness and robustness of the proposed approach in terms various quality metrics (trustworthiness, untrustworthiness, uncertainty) and sensitivity analysis.
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Akshya Kaveri, B., Gireesha, O., Somu, N., Gauthama Raman, M.R., Shankar Sriram, V.S. (2018). E-FPROMETHEE: An Entropy Based Fuzzy Multi Criteria Decision Making Service Ranking Approach for Cloud Service Selection. In: Venkataramani, G., Sankaranarayanan, K., Mukherjee, S., Arputharaj, K., Sankara Narayanan, S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-10-7635-0_17
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DOI: https://doi.org/10.1007/978-981-10-7635-0_17
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