research-article

A Low-code Development Framework for Cloud-native Edge Systems

Authors:

Wei DongAuthors Info & Claims

ACM Transactions on Internet Technology, Volume 23, Issue 1

Article No.: 15, Pages 1 - 22

https://doi.org/10.1145/3563215

Published: 27 February 2023 Publication History

Abstract

Customizing and deploying an edge system are time-consuming and complex tasks because of hardware heterogeneity, third-party software compatibility, diverse performance requirements, and so on. In this article, we present TinyEdge, a holistic framework for the low-code development of edge systems. The key idea of TinyEdge is to use a top-down approach for designing edge systems. Developers select and configure TinyEdge modules to specify their interaction logic without dealing with the specific hardware or software. Taking the configuration as input, TinyEdge automatically generates the deployment package and estimates the performance with sufficient profiling. TinyEdge provides a unified development toolkit to specify module dependencies, functionalities, interactions, and configurations. We implement TinyEdge and evaluate its performance using real-world edge systems. Results show that: (1) TinyEdge achieves rapid customization of edge systems, reducing 44.15% of development time and 67.79% of lines of code on average compared with the state-of-the-art edge computing platforms; (2) TinyEdge builds compact modules and optimizes the latent circular dependency detection and message routing efficiency; (3) TinyEdge performance estimation has low absolute errors in various settings.

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Cited By

Yasmin AMahmud TDebnath MNgu A(2024)An Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT Applications2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00187(1422-1431)Online publication date: 2-Jul-2024
https://doi.org/10.1109/COMPSAC61105.2024.00187
Zang HKim HKim J(2024)Blockchain-Based Decentralized Storage Design for Data Confidence Over Cloud-Native Edge InfrastructureIEEE Access10.1109/ACCESS.2024.338301012(50083-50099)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3383010

Index Terms

A Low-code Development Framework for Cloud-native Edge Systems
1. Networks
  1. Network services
    1. Cloud computing
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 23, Issue 1

February 2023

564 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3584863

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 27 February 2023

Online AM: 15 September 2022

Accepted: 29 August 2022

Revised: 25 April 2022

Received: 03 April 2021

Published in TOIT Volume 23, Issue 1

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National Key R&D Program of China
National Science Foundation of China
Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars
Fundamental Research Funds

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Cited By

Yasmin AMahmud TDebnath MNgu A(2024)An Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT Applications2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC61105.2024.00187(1422-1431)Online publication date: 2-Jul-2024
https://doi.org/10.1109/COMPSAC61105.2024.00187
Zang HKim HKim J(2024)Blockchain-Based Decentralized Storage Design for Data Confidence Over Cloud-Native Edge InfrastructureIEEE Access10.1109/ACCESS.2024.338301012(50083-50099)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3383010

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