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Top1. Introduction
With the development of mobile Internet and Internet of things (IoT) (Srinivasan et al. 2019), mobile HD video (Usman et al. 2018), augmented reality and virtual reality (AR/VR) (Nayyar et al. 2018), and various intelligent hardware devices (Liu et al. 2019; Zhang 2020) have become an indispensable part of people's life. These network technologies and applications do not only enrich people's lives, but also generate huge mobile network traffic.
The rapid growth of mobile network traffic (Yan 2019), especially mobile video traffic, has brought great pressure and challenges to the mobile network. The traffic explosion has brought the following impacts on the current mobile network. First, the pressure of backhaul network and mobile core network is huge. The rapid growth of mobile network traffic makes the pressure of mobile backhaul network increase, the bandwidth resource be tight, and the load of mobile core network is serious. Second, the repeated transmission of content induces in a great waste of network resources. At present, the end-to-end transmission mechanism (Sun et al. 2017) in mobile network will cause the repeated transmission of a large number of popular content, especially the transmission of mobile high-definition video content. Third, the network delay is large which induces bad user experience. In the current mobile network, the user's content request must pass through the base station, S-GW, P-GW to enter the Internet (Zhou et al. 2020). The content is routed to the content server. The spatial distance between the user and the content server (Charu et al. 2017) makes the network transmission delay be larger. In addition, the quality of user experience is influenced on the processing delay of the content server, the congestion and packet loss of the transmission link, link failure and other special circumstances (Medeiros et al. 2019).
In order to cope with the explosion of mobile network traffic, improve the quality of users' network experience, accelerate the efficiency of content distribution, and alleviate the transmission pressure of backhaul network, multi access edge computing (Pham et al. 2020) is proposed. It aims to provide end users with ultra-low latency and high bandwidth services through cloud computing capability and service environment for content providers and application developers at the edge of mobile network.
At the same time, the webcast has become an important network application (Na and Jahng 2019). Webcast refers to the process that the audio and video signals are compressed and uploaded to the web server or multimedia server, and distributed on the Internet according to the user's request. In recent years, with the rapid development of the Internet, the webcast has emerged in real life and become popular among mobile users. The current live broadcast services (Wang et al. 2018) include sports events, concerts, remote meetings, online education etc. However, there are still many problems in the current network video live broadcasting system, such as poor mobility, large delay, video jam, difficult to guarantee quality of service.
With the development of MEC technology, video distribution scheme based on MEC has become an important method to improve the quality of webcast. This paper adopts MEC to aid online ideological and political education. The architecture is illustrated in the following figure.
Figure 1.
The architecture of MEC based webcast to assist online ideological and political education