Reputation Based Trust Model in Cloud Computing
Internet of Things and Cloud Computing
Volume 5, Issue 5-1, September 2017, Pages: 5-12
Received: Jul. 4, 2017; Accepted: Jul. 5, 2017; Published: Aug. 25, 2017
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Praveen S. Challagidad, Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomus), Bagalkot, India
Vani S. Reshmi, Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomus), Bagalkot, India
Mahantesh N. Birje, Center for Post Graduate Studies, Visvesvaraya Technological University (VTU), Belagavi, India
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Cloud computing offers cost-effective dynamic, scalable and shared services for enterprises from remote data centre. The data stored in cloud storage is increasing day by day dramatically. Though the problem of trusting cloud computing is a highest concern for most enterprises in such a way that trust is widely regarded as one of the top obstacles for the adoption and growth of cloud computing. So there is a need of trust model which help cloud consumers to find the provider that best satisfies their trust concerns in cloud computing by measuring the trustworthiness of Cloud Service Provider (CSP). In this paper we propose a reputation based trust model which will evaluate the reputation of service provider by using a trust evaluation algorithm that will take customers feedback, server rejection rate and server workload into consideration. The experiments show that the trust result is more efficient.
Cloud Computing, Feedback, Trust, Trust Evaluation
To cite this article
Praveen S. Challagidad, Vani S. Reshmi, Mahantesh N. Birje, Reputation Based Trust Model in Cloud Computing, Internet of Things and Cloud Computing. Special Issue: Advances in Cloud and Internet of Things. Vol. 5, No. 5-1, 2017, pp. 5-12. doi: 10.11648/j.iotcc.s.2017050501.12
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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