ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2020, Vol. 57 ›› Issue (5): 1080-1102.doi: 10.7544/issn1000-1239.2020.20190077

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Model of Trusted Cooperative Service for Edge Computing

Yue Guangxue, Dai Yasheng, Yang Xiaohui, Liu Jianhua, You Zhenxu, Zhu Youkang   

  1. (School of Mathematics and Information Engineering, Jiaxing University, Jiaxing, Zhejiang 314001)
  • Online:2020-05-01
  • Supported by: 
    This work was supported by the National Natural Science Foundation of China (61572014).

Abstract: With the development and widespread application of the Internet of things and 4G/5G wireless network technology, we have entered into the Internet of everything era. It is easier to connect the edge computing devices, such as mobile phones, PAD, etc., to the Internet. Thus, the number of data generated by edge computing devices is increasing significantly. However, the current network services cannot provide such demand, posed by edge computing, on high throughput, frequently connection, sensitive to location and latency. It is an efficient way to improve the quality of service by 1)considering the characteristics of the intelligence, diversity and flexibility of node at the edge of network, 2)locally aggregating computing, storage and network service resources, and 3)adaptively building trusted cooperative service system. The key to efficiently build a cooperative service system is quickly looking for and then dynamically organizing the edge computing nodes. In this paper, we propose a leaderbased trusted cooperative service for edge computing (TCSEC). The main idea is the leader node selects its cooperative service node set with a selfadjustable clustering, which takes into consideration the features of a node, e.g. trust degree, influence, volume, bandwidth, and quality of the link, and realizes the rapid resource aggregation and computing migration. Based on our approach, it is fast to respond to the computing request and provide reliable service. The simulation shows TCSEC can efficiently speed up the ability to construct a cooperative service system and improve the quality of service.

Key words: edge computing, trust evaluation, node influence, task offloading, trust cooperation

CLC Number: