Editorial
Intelligent Edge Caching and Computing for Scalable Information Systems
@ARTICLE{10.4108/eetsis.vi.3021, author={Yu-Dong Zhang}, title={Intelligent Edge Caching and Computing for Scalable Information Systems}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={10}, number={5}, publisher={EAI}, journal_a={SIS}, year={2023}, month={6}, keywords={edge computing, scalable information systems, integrated access devices, internet of things, convolutional neural network, signal-to-noise ratio, optical fiber composite overhead ground wire}, doi={10.4108/eetsis.vi.3021} }- Yu-Dong Zhang
Year: 2023
Intelligent Edge Caching and Computing for Scalable Information Systems
SIS
EAI
DOI: 10.4108/eetsis.vi.3021
Abstract
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.
Copyright © 2023 Yudong Zhang, licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.