• Title/Summary/Keyword: 오픈 소스 엣지 컴퓨팅 플랫폼

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Analysis of Open Source Edge Computing Platforms: Architecture, Features, and Comparison (오픈 소스 엣지 컴퓨팅 플랫폼 분석: 구조, 특징, 비교)

  • Lim, Huhnkuk;Lee, Heejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.985-992
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    • 2020
  • Edge computing is a technology that can prepare for a new era of cloud computing. Edge computing is not a remote data center where data is processed and computed, but low-latency/high-speed computing is realized by adding computing power and data processing power to the edge side close to an access point such as a terminal device or a gateway. It is possible. The types of edge computing include mobile edge computing, fog computing, and cloudlet computing. In this article, we describes existing open source platforms for implementing edge computing nodes. By presenting and comparing the structure, features of open source edge platforms, it is possible to acquire knowledge required to select the best edge platform for industrial engineers who want to build an edge node using an actual open source edge computing platform.

A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service (에지 컴퓨팅 기반 객체탐지 서비스를 위한 이미지/동영상 데이터 처리 기법에 관한 연구)

  • Jang Shin Won;Yong-Geun Hong
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.11
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    • pp.319-328
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    • 2023
  • Unlike cloud computing, edge computing technology analyzes and judges data close to devices and users, providing advantages such as real-time service, sensitive data protection, and reduced network traffic. EdgeX Foundry, a representative open source of edge computing platforms, is an open source-based edge middleware platform that provides services between various devices and IT systems in the real world. EdgeX Foundry provides a service for handling camera devices, along with a service for handling existing sensed data, which only supports simple streaming and camera device management and does not store or process image data obtained from the device inside EdgeX. This paper presents a technique that can store and process image data inside EdgeX by applying some of the services provided by EdgeX Foundry. Based on the proposed technique, a service pipeline for object detection services used core in the field of autonomous driving was created for experiments and performance evaluation, and then compared and analyzed with existing methods.