Research on Key Technologies of Edge Computing

Jiarong Chen

2025

Abstract

Edge computing, as a key technology for IoT applications, has become an important driver of digital transformation due to its ability to provide low-latency and high-bandwidth data processing at the edge of the network. With the explosive growth of IoT devices, the traditional cloud computing model is facing many challenges, especially in low-latency, high-bandwidth, real-time data processing scenarios. Edge computing can significantly reduce data transmission time, reduce network congestion, and improve quality of service by pushing computing resources and data processing capabilities to the edge of the network. This paper reviews the key technologies of edge computing, focusing on the research progress in task scheduling and resource management, as well as information system security. By analyzing the current mainstream methods and models, this paper summarizes the advantages and limitations of edge computing in task scheduling, resource management, and security evaluation, etc. Finally, it looks forward to the future research direction and proposes potential ways to optimize the performance of the edge computing system, including multi-source data fusion and intelligent scheduling mechanism.

Paper Citation

in Harvard Style

Chen J. (2025). Research on Key Technologies of Edge Computing. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 26-32. DOI: 10.5220/0013677500004670

in Bibtex Style

@conference{icdse25,
author={Jiarong Chen},
title={Research on Key Technologies of Edge Computing},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={26-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013677500004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Research on Key Technologies of Edge Computing
SN - 978-989-758-765-8
AU - Chen J.
PY - 2025
SP - 26
EP - 32
DO - 10.5220/0013677500004670
PB - SciTePress