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Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service

Publication Type : Conference Paper

Publisher : International Conference on ‘Advances in Communication, Network and Computing, CNC 2014

Source : International Conference on ‘Advances in Communication, Network and Computing, CNC 2014, Chennai (2014)

Url : https://www.researchgate.net/publication/276355193_Comparison_of_Trust_Values_using_Triangular_and_Gaussian_Fuzzy_Membership_Functions_for_Infrastructure_as_a_Service

Campus : Bengaluru, Coimbatore

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

Department : Computer Science, Electrical and Electronics

Year : 2014

Abstract : Cloud computing has emerged as a paradigm to deliver on demand resources to enable the customers with access to their infrastructure and application services on a subscription basis. In recent times, increasing number of people carry out variety of different activities on the cloud. Two important issues that arise in cloud computing relate to storing and securing data, and monitoring the use of the cloud by the service providers. Trust helps to build this consumer confidence in such open and often anonymous environments. It provides a reliable environment for customers or businesses to carry out transactions with cloud providers. The amount of trust that the trusting agent has in the trusted agent is measured by a Trustworthiness scale. Trustworthiness is determined by the trust levels specified as numeric or non-numeric values. Trust is one of the most fuzzy, dynamic and complex concepts in both social and business relationships. In this paper, a hierarchical trust model has been used to compare the trust values of various cloud service providers for five levels of trustworthiness using triangular and Gaussian fuzzy membership functions based on Infrastructure as a Service.

Cite this Research Publication : Dr. Supriya M., K, S., and , “Comparison of Trust Values using Triangular and Gaussian Fuzzy Membership Functions for Infrastructure as a Service”, in International Conference on ‘Advances in Communication, Network and Computing, CNC 2014, Chennai, 2014.

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