Abstract
From 2015 to the end of 2016, the Internet set off a wave of payment for knowledge. Pay-for-knowledge platforms such as Fenda, iGet, and Qianliao went online quickly, and platforms such as Himalaya FM, Zhihu, and Qingting FM gathered to launch paid columns. The number of users increased rapidly, and payment for knowledge was considered to have reached the trend of development. This article aims to study the introduction of edge computing in the mobile information system into the existence and inevitability of the knowledge payment platform; analyze the advantages, dilemmas, and optimization paths of the knowledge payment platform; and try to provide a theoretical reference for promoting its development. This article puts forward an explanation of the related content of mobile edge computing and RFID technology overview, using comparative experiment and behavior analysis methods. The experimental results show that there are 98 people under the age of 18 in the questionnaire, accounting for 19.1% of the total, 201 people aged 18–29, accounting for 39.1% of the total, 142 people aged 30–39, accounting for 27.6% of the total, and 73 people over 40 years old, accounting for 14.2% of the total number. It can be seen from the data that the sample age is mainly concentrated in the 18–29 years old, followed by the 30–39 years old; the sample age is biased towards young people. It has well completed the continuous use behavior analysis of the knowledge payment platform based on edge computing under the mobile information system.
Highlights
Cloud computing has been dynamically promoted due to its low operating cost, strong dynamic scalability, and simple operation and maintenance
40 years old, accounting for 14.2%. It can be seen from the data that the sample age is mainly concentrated in the 18–29 years old, followed by the 30–39 years old; the sample age is biased towards young people
If the correlation coefficient is not significant, it means that the explanatory power of the item is low, and the item must be eliminated
Summary
Cloud computing has been dynamically promoted due to its low operating cost, strong dynamic scalability, and simple operation and maintenance. My country’s cloud computingrelated industries are developing rapidly. E main characteristics of cloud computing are being dynamic, flexible, and on demand. Data required for cloud computing are collected by related equipment. Different types of terminals transmit a large amount of collected data to their respective cloud platforms and receive analysis results through a central function. A large number of mature intelligent management cloud platforms have been used, but with the widespread use of distributed intelligent devices, a large amount of data transmission has caused the transmission channel to be blocked. Ere are many difficulties in using cloud computing technology to solve this problem, and cutting-edge computing technology provides an effective way to solve this problem A large number of mature intelligent management cloud platforms have been used, but with the widespread use of distributed intelligent devices, a large amount of data transmission has caused the transmission channel to be blocked. ere are many difficulties in using cloud computing technology to solve this problem, and cutting-edge computing technology provides an effective way to solve this problem
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