Intelligent Edge Caching and Computing for Scalable Information Systems

Authors

  • Yu-Dong Zhang University of Leicester

DOI:

https://doi.org/10.4108/eetsis.vi.3021

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

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.

References

Tang, Y., et al., An Overview on Active Transmission Techniques for Wireless Scalable Networks. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e3

Zhou, Y., et al., Analysis and Design of Power System Transformer Standard Based on Knowledge Graph. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e6

Zhou, Y., et al., Analysis and Design of Standard Knowledge Service System based on Deep Learning. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e8

He, S., et al., Data Transmission of Digital Grid Assisted by Intelligent Relaying. EAI Endorsed Transactions on Scalable Information Systems, 2023. 10(3): p. e11

Lu, J., et al., Intelligent Wireless Monitoring Technology for 10kV Overhead lines in Smart Grid Networks. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e13

Zhou, Y., et al., Online Document Transmission and Recognition of Digital Power Grid with Knowledge Graph. EAI Endorsed Transactions on Scalable Information Systems, 2023. 10(3): p. e5

Li, B., et al., Research on Communication Technology of OPGW Line in Distribution Network under Interference Environment. EAI Endorsed Transactions on Scalable Information Systems, 2023. 10(3): p. e4

Lin, Z., et al., Research on Knowledge Management of Novel Power System Based on Deep Learning. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e7

Zeng, Y., et al., Secure Data Processing Technology of Distribution Network OPGW Line with Edge Computing. EAI Endorsed Transactions on Scalable Information Systems, 2023. 10(3): p. e7

Liu, X., et al., Two-Way Data Processing Technology for OPGW Line of Distribution Power Communication Networks. EAI Endorsed Transactions on Scalable Information Systems, 2022. 10(2): p. e15

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Published

22-06-2023

How to Cite

1.
Zhang Y-D. Intelligent Edge Caching and Computing for Scalable Information Systems. EAI Endorsed Scal Inf Syst [Internet]. 2023 Jun. 22 [cited 2024 Jul. 22];10(5). Available from: https://publications.eai.eu/index.php/sis/article/view/3021