Driving intelligent IoT monitoring and control through cloud computing and machine learning

Hanzhe Li; Xiangxiang Wang; Yuan Feng; Yaqian Qi; Jingxiao Tian

doi:10.54254/2755-2721/64/20241358

Research Article

Open access

Published on 15 May 2024

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Li,H.;Wang,X.;Feng,Y.;Qi,Y.;Tian,J. (2024). Driving intelligent IoT monitoring and control through cloud computing and machine learning. Applied and Computational Engineering,64,75-80.

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Driving intelligent IoT monitoring and control through cloud computing and machine learning

Hanzhe Li *^,1, Xiangxiang Wang ², Yuan Feng ³, Yaqian Qi ⁴, Jingxiao Tian ⁵

¹ Computer Engineering,New York University
² Computer Science,University of Texas at Arlington
³ Interdisciplinary Data Science ,Duke University
⁴ Quantitative Methods and Modeling,Baruch Collegue, CUNY
⁵ Electrical and Computer Engineering,San Diego State University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/64/20241358

Abstract

At present, cloud computing and the Internet of Things are closely integrated. IoT devices gather data through sensors and transmit it to the cloud for storage, processing, and analysis. This synergy enables efficient data management and in-depth analysis, facilitating real-time monitoring and predictive maintenance. This article explores leveraging cloud computing and machine learning for intelligent IoT monitoring and control. Edge computing, a distributed architecture, decentralizes data processing from the cloud to reduce latency and improve efficiency. This combination enhances security and drives the development of intelligent systems.

Keywords

Internet of Things, Cloud Computing, Edge Computing, Real-time Information and Analytics

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Cite this article

Li,H.;Wang,X.;Feng,Y.;Qi,Y.;Tian,J. (2024). Driving intelligent IoT monitoring and control through cloud computing and machine learning. Applied and Computational Engineering,64,75-80.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://www.confcds.org/

ISBN：978-1-83558-425-5(Print) / 978-1-83558-426-2(Online)

Conference date: 12 September 2024

Editor：Alan Wang, Roman Bauer

Series: Applied and Computational Engineering

Volume number: Vol.64

ISSN：2755-2721(Print) / 2755-273X(Online)

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