Paper Info
Title
Mobile Neural Intelligent Information System Based On Edge Computing With Interactive Data
Abstract
With the increasing popularity of smart mobile terminals, smartphones, tablet computers and other mobile devices will gradually replace personal computers and become the most important computing platform for consumers. Mobile edge computing (MEC), as a key technology for the evolution of communication network architecture, can meet the requirements of the system for throughput, delay, network scalability and intelligence. Based on the MEC, the content and services provided by information system are closer to users to increase mobile network speed, reduce latency and improve connection reliability. In this paper, we propose an interactive data information system based on mobile edge detection, which is divided into client and server. The server mainly provides services such as content and user login and rights management for the client. The client needs to log into the server to run normally. Among them, the interactive data server is a favorable support and guarantee for the client. The experimental results show that the proposed method has higher efficiency and fault tolerance.
Year
DOI
Venue
2021
10.1007/s00521-020-05269-9
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
Edge computing, Communication network, System design, Interactive data acquisition, Intelligent information system
Journal
33
Issue
ISSN
Citations 
9
0941-0643
1
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Yucheng Zhang1187.01
Li Yang235963.68
Haoxiang Wang327615.25