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Enhanced QoS-Based Model for Trust Assessment in Cloud Computing Environment

Authors :
Hala Hassan
Ali Ibrahim El-Desouky
Abdelhameed Ibrahim
El-Sayed M. El-Kenawy
Reham Arnous
Source :
IEEE Access, Vol 8, Pp 43752-43763 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Trust management becomes an urgent requirement in the cloud environment and a trust relationship between service user and service provider is required. Trust is the estimation of the ability of cloud resources in completing a task based on some criteria such as availability, reliability, and resource processing power. In this paper, an enhanced QoS-based model for evaluating the trustworthiness of the cloud provider is introduced. The proposed model calculates the accumulative trust value which is updated dynamically at each transaction and reflects the current or latest transaction of the provider in the cloud. The trustworthiness of a cloud resource is evaluated based on its provider reputation history from user feedback ratings based on the covariance mathematical technique to evaluate the credibility of the user's feedback. The trustworthiness of a cloud resource is also evaluated by calculating the computing power of resources at run-time. Experimental results confirm the effect of user opinion and resources processing speed on trust value calculation, which in turn assesses the trustworthiness of the cloud provider. The simulation has been performed using the CloudSim with the platform Eclipse for developing the proposed model.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.503dc7f46a4c388e00d4cbc3ea7a9f
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2978452