ABSTRACT
During coronavirus disease 2019 (Covid-19), there was a demand for high data throughput and connectivity from higher education institutions. The Covid-19 pandemic has in fact exposed some of these institutions when it comes to high-speed connectivity. This chapter proposes a model for deploying a software defined network (SDN), which helps to increase productivity and reduces the cost. It discusses the existing work and brief history of the open systems interconnection model and its layers. The chapter presents a new SDN architecture and its benefits through three layers, namely application, control and data. The SDN is a network where control and data planes are decoupled and programmable through a software running on top of the network operating system on the controller. The SDN works very well with cloud networking and artificial intelligence networks. It is the future of secured and reliable communication networks. © ISTE Ltd 2022.
ABSTRACT
Engineering practice education for college students is very important in the higher education system. It requires students to carry out practical and innovative learning except for knowledge. However, the traditional offline education cannot provide enough practice opportunities for students, which limits students' in-depth concept understanding and restricts their practical ability and innovative thinking. During the period of COVID-19 spreading, the course can be taken online;but it will be quite difficult for conducting experiments, especially for the courses in the electronic and telecommunication systems, which usually requires expensive equipment. In this paper, taking the course "Intelligent Information Network" as example, we designed and implemented an online experiment platform, including optical switching equipment and data packet network equipment. Using remote programmable techniques and separated Algorithm Center, this platform allows students to deploy their own algorithm into the physical telecommunication equipment in web-based approach, and validate the network performance.