E-FPROMETHEE: An Entropy Based Fuzzy Multi Criteria Decision Making Service Ranking Approach for Cloud Service Selection

  • B. Akshya Kaveri
  • O. Gireesha
  • Nivethitha Somu
  • M. R. Gauthama Raman
  • V. S. Shankar Sriram
Conference paper
First Online:
Part of the Communications in Computer and Information Science book series (CCIS, volume 808)

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.

Keywords

Cloud service ranking Entropy Fuzzy logic Multi Criteria Decision Making Trustworthy service providers 
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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • B. Akshya Kaveri
    • 1
  • O. Gireesha
    • 1
  • Nivethitha Somu
    • 1
  • M. R. Gauthama Raman
    • 1
  • V. S. Shankar Sriram
    • 1
  1. 1.School of Computing, Centre for Information Super Highway (CISH)SASTRA UniversityThanjavurIndia

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