Vol.56, No.2, 2018, pp.273-283, doi: 10.3970/cmc.2018.03587
OPEN ACCESS
ARTICLE
Research on Trust Model in Container-Based Cloud Service
  • Xiaolan Xie1,2, Tianwei Yuan1,*, Xiao Zhou3, Xiaochun Cheng4
College of Information Science and Engineering, Guilin University of Technology, Guilin , 541004, China.
Guangxi Universities Key Laboratory of Embedded Technology and Intelligent Information Processing, Guilin University of Technology, Guilin , 541004, China.
College of Mechanical and Control Engineering, Guilin University of Technology, Guilin , 541004, China.
Department of Computer Science, Middlesex University, London, NW4 4BT, UK.
* Corresponding Author: Tianwei Yuan. Email: .
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.
Keywords
Security, cloud service, trust model, container, cooperation.
Cite This Article
. , "Research on trust model in container-based cloud service," Computers, Materials & Continua, vol. 56, no.2, pp. 273–283, 2018.
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