A collaborative service resource evaluation model based on trust network

In the era of the 5G network, network traffic grows rapidly. Edge computing will face the challenges of high bandwidth, low latency, high reliability and other requirements of 5G network services. Due to the limited resources of node communication, computing and storage, under the sudden, intensive...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking Vol. 2021; no. 1; pp. 1 - 15
Main Authors: Shi, Jiantao, Liu, Likun, Yu, Xiangzhan, Lu, Hui
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 09.03.2021
Springer Nature B.V
SpringerOpen
Subjects:
5G network
Collaboration
Communications Engineering
Communications traffic
Edge computing
Efficiency
Engineering
Information Systems Applications (incl.Internet)
Multi-modal Sensor Data Fusion in Internet of Things
Network latency
Network reliability
Networks
Nodes
Quality of service architectures
Signal,Image and Speech Processing
Traffic analysis
Traffic congestion
Trust model
Trustworthiness
Vibration
Wireless networks
Traffic analysis
5G network
Trust model
Edge computing
ISSN:1687-1499, 1687-1472, 1687-1499
Online Access:Get full text
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Summary:In the era of the 5G network, network traffic grows rapidly. Edge computing will face the challenges of high bandwidth, low latency, high reliability and other requirements of 5G network services. Due to the limited resources of node communication, computing and storage, under the sudden, intensive and high-traffic task request, edge computing will suffer from network jitter, excessive delay, access congestion, service failure and low distribution efficiency. In order to ensure network service quality and improve service efficiency, it is necessary to construct an effective collaborative service mechanism, motivate nodes to participate in cooperation, integrate network service resources and self-adapt to manage collaborative services. Therefore, establishing an effective node and service evaluation system to identify reliable resources and nodes is an effective way to improve the overall availability and reliable services of edge computing network. In this paper, we summarize and analyze the key technologies of the current collaborative service organization incentive and trust mechanism. This paper presents an attack-resistant node and service evaluation system based on a trust network. The system includes a voting collection mechanism, a trustable node selection mechanism, a questioning response mechanism and a punishment mechanism. The experiments prove that the system has a strong ability to resist attacks and is superior to the existing reputation evaluation model in terms of its performance. It can effectively improve the collaborative efficiency of edge computing and guarantee the quality of network service.
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ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-021-01937-z