Title: Transmission optimisation technology based on edge-network
Authors: Baoqi Jiang; Yaozong Zhao; Chaoqun Hong; Weipeng Wu; Hongchao Zhang; Shuai Guo; Ruifeng Li; Haihao Tang
Addresses: Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Xiamen University of Technology, Tianma Road, Xiamen, Fujian, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China ' Personal Cloud Department, Baidu Online Network Technology Company, Shangdi Street, Beijing, China
Abstract: With the development of network infrastructure, user data has shown an exponential growth. Improving the transmission quality of user network is essential for the current requirements, however, user network environment is generally quite complicated and there exists all kinds of problems, consequently, the traditional central server architecture cannot solve these issues out because it cannot support the high throughput in the network. According to these drawbacks, in this paper, we propose a new architecture, which is made of the edge nodes as points of presence (POP). This architecture improves significantly the user experience including connection and transmission by using network detection, data encryption, and smart access point selection. In particular, this improvement becomes more obvious to the user who experiences the slow network speed in network disk. Furthermore, this technology can be applied on services that require low latency and high throughput.
Keywords: edge points; network detection; transmission encryption; POP acceleration.
International Journal of Web Science, 2022 Vol.3 No.3, pp.249 - 264
Received: 12 Oct 2021
Accepted: 17 Feb 2022
Published online: 19 May 2022 *