Research on trust model in container-based cloud service

Xie, Xiaolan, Yuan, Tianwei, Zhou, Xiao and Cheng, Xiaochun ORCID: https://orcid.org/0000-0003-0371-9646 (2018) Research on trust model in container-based cloud service. Computers, Materials and Continua, 56 (2). pp. 273-283. ISSN 1546-2218 (doi:10.3970/cmc.2018.03587)

[img]
Preview
PDF - Published version (with publisher's formatting)
Download (362kB) | Preview

Abstract

Container virtual technology aims to provide program independence and resource sharing. The container enables flexible cloud service. Compared with traditional virtualization, traditional virtual machines have difficulty in resource and expense requirements. The container technology has the advantages of smaller size, faster migration, lower resource overhead, and higher utilization. Within container-based cloud environment, services can adopt multi-target nodes. This paper reports research results to improve the traditional trust model with consideration of cooperation effects. Cooperation trust means that in a container-based cloud environment, services can be divided into multiple containers for different container nodes. When multiple target nodes work for one service at the same time, these nodes are in a cooperation state. When multi-target nodes cooperate to complete the service, the target nodes evaluate each other. The calculation of cooperation trust evaluation is used to update the degree of comprehensive trust. Experimental simulation results show that the cooperation trust evaluation can help solving the trust problem in the container-based cloud environment and can improve the success rate of following cooperation.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 24982
Notes on copyright: Copyright © 2018 Tech Science Press
Useful Links:
Depositing User: Xiaochun Cheng
Date Deposited: 18 Sep 2018 11:22
Last Modified: 07 Nov 2019 07:11
URI: https://eprints.mdx.ac.uk/id/eprint/24982

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year