CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13228 > Article
Paper
22 August 2024 A method for improving data processing efficiency of operators based on 5G edge computing technology
Min Zheng, Yuling Chao, Hong Mei, Guolin Song, Mingjing Guo, Xinbo Wang, Yuan Li, Shougang Xu, Yajun Liu, Yaofei Gao, Zhiwen Kang, Haolun Ding, Lu Chen, Kang Wang, Jinfeng Hou
Author Affiliations +
Proceedings Volume 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024); 132280G (2024) https://doi.org/10.1117/12.3038030
Event: Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 2024, Guangzhou, China
Abstract
In the context of the continuous development of information technology, the 5G era has ushered in a new intuation, the rapid development of mobile Internet and the continuous richness of business types, the data generated by users in the process of using various types of business has multiplied, the emergence of massive data and the change of data structure. It brings great challenges to operators' data management, data collection, data statistical analysis, data processing and data operation and maintenance. How to deal with these data effectively and efficiently has become the key to operators' improvement of operational efficiency and service quality. Edge computing, as a new computing mode, assigns computing tasks to the edge of the network, making data processing and analysis more real-time and efficient. This paper provides strong technical support for the implementation of edge computing through the characteristics of 5G network, such as high speed, low latency and large connection. It proposes a method to improve the data processing efficiency of operators based on 5G edge computing technology. It adopts theoretical analysis and experiments to carry out comprehensive research, effectively improve the processing of massive data, reduce cost and increase efficiency. And realize the security and efficiency of data, enhance the market competitiveness, and thus improve the user experience.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Min Zheng, Yuling Chao, Hong Mei, Guolin Song, Mingjing Guo, Xinbo Wang, Yuan Li, Shougang Xu, Yajun Liu, Yaofei Gao, Zhiwen Kang, Haolun Ding, Lu Chen, Kang Wang, and Jinfeng Hou "A method for improving data processing efficiency of operators based on 5G edge computing technology", Proc. SPIE 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 132280G (22 August 2024); https://doi.org/10.1117/12.3038030
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data processing
Distributed computing
Data acquisition
Industrial applications
Real-time computing
Data transmission
Clouds
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top