Campus IoT system and students’ Employment Education Innovation based on mobile edge computing

Abstract

Abstract With the rapid development of Internet of things, more and more computing intensive applications are running on the Internet of things terminals. These computing intensive applications usually need strong computing power. It requires high energy consumption to process these applications locally through Internet of things terminals. At the same time, the computing capacity and battery capacity of the Internet of things terminals are limited. To solve this problem, computing tasks can be transferred from single Internet (IOT) terminals to cloud computing with powerful computing functions. However, cloud computing has inherent limitations. That is, the distance from user terminal to remote cloud center server is very long, and the application delay time is too long. Mobile edge computing, as a new computing technology, is introduced to the network edge, which provides computing services that can generate enough capacity by obtaining a large number of free computing capacity and scattered storage space on the edge. This is a task that is used in mobile terminal or Internet of things terminal to perform computationally intensive and wait time important tasks. Unlike traditional cloud computing, mobile edge computing can be extended to wireless access points. This paper uses mobile edge computing Internet of things technology to study campus system innovation and student employment education. The high quality employment guidance education for college students is not only an important way to promote the external output of talents, but also an important link to realize the connection between universities and enterprises, and also an important means for universities to provide services to the society.