Intelligent Edge Caching and Computing for Scalable Information Systems

被引：0
作者：
Zhang, Yudong [1 ,2 ]
机构：
[1] Univ Leicester, Sch Comp & Math Sci, Leicester LE1 7RH, England
[2] King Abdulaziz Univ, Fac Comp & Informat Technol, Dept Informat Syst, Jeddah 21589, Saudi Arabia
来源：
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS | 2023年 / 10卷 / 05期
基金：
英国生物技术与生命科学研究理事会;
关键词：
edge computing; scalable information systems; integrated access devices; internet of things; convolutional neural network; signal-to-noise ratio; optical fiber composite overhead ground wire;
D O I：
10.4108/eetsis.vi.3021
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
INTRODUCTION: In scalable information systems, edge computing can help to overcome the challenges of latency, bandwidth, and connectivity in large-scale networks by reducing the amount of data that needs to be transmitted over the network.OBJECTIVES: The edge devices, such as sensors, cameras, gateways, routers, switches, multiplexers, integrated access devices, etc., can perform initial data processing and filtering, reducing the data volume sent to the central system.METHODS: This special issue aims to provide the recent progress of intelligent edge caching and computing for scalable information systems.RESULTS: The guest editors received more than 30 submissions, and finally, ten papers were accepted.CONCLUSION: This special issue has contributed to advancing academic research and practice in intelligent edge caching and computing for scalable information systems.
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页码：1 / 3
页数：3
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