The Intelligent Edge: AI and Machine Learning in Edge Computing for IoT
DOI:
https://doi.org/10.26821/IJSHRE.12.7.2024.120706Keywords:
Edge Computing, Internet of Things (IoT), Artificial Intelligence (AI), Machine LearningAbstract
Integrating AI and ML with EC can be viewed as a paradigm shift in the IT IoT world. Thus, this article discusses the possibilities of applying AI and ML in IoT with the help of edge computing, its advantages and disadvantages, and future trends. Edge computing has the primary benefit of reducing latency and the physical amount of data transmitted at the network level due to processing data closer to the source. This paper aims to discuss the current state of edge AI technologies, approaches, and performance indicators in carrying out IoT applications.
References
H. L. Y. W. T. D. N. L. W. &. C. J. Hua, "Edge computing with artificial intelligence: A machine learning perspective.," ACM Computing Surveys, pp. 1-35, 2023, 55(9).
G. Boesch, "Edge Intelligence: Edge Computing and ML," 1 December 2023. [Online]. Available: https://viso.ai/edge-ai/edge-intelligence-deep-learning-with-edge-computing/.
R. Z. J. A. R. I. I. D. O. N. M. S. M. S. K. A. A.-U. T. I. A. &. K. A. M. Abubakar Bala, "Artificial intelligence and edge computing for machine maintenance-review," Artificial Intelligence Review , p. 119, 2024, 57.
D. Adib, "Does IoT require edge processing today – and will it in the future?," [Online]. Available: https://stlpartners.com/articles/edge-computing/iot-edge-computing/.
S. Hymel, "What is Edge AI? Machine Learning + IoT," 11 11 2019. [Online]. Available: https://www.digikey.com/en/maker/projects/what-is-edge-ai-machine-learning-iot/4f655838138941138aaad62c170827af.
S. M. M. S. V. G. P. B. A. K. A. A. &. V. K. Uday Kulkarni, "AI Model Compression for Edge Devices Using Optimization Techniques," Studies in Computational Intelligence , p. 227–240, 2021, 956.
O. Jouini, K. Sethom, A. Namoun, N. Aljohani, M. Alanazi and M. Alanazi, "A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions," Technologies 2024, p. 81, 2024, 12(6).
Z. O. K. M. G. A. S. H. F. G. Bourechak A, "The Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives," Sensors, p. 1639, 2023, 23.
I. X. a. K. A. D. Tuhtanazarov, "Model And Algorithm For Solving One-Dimensional Two-Phase Of Filtration Task," 2019 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 2019, pp. 1-5, 2019.
A. S. M. M. M. G. S. J. H. a. F. Z. R. M. Talebkhah, "Edge computing: Architecture, Applications and Future Perspectives," IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), pp. 1-6, 2020 .
O. Debauche, S. Mahmoudi and A. Guttadauria, "A New Edge Computing Architecture for IoT and Multimedia Data Management," Information 2022, p. 89, 2022, 13(2).
R. S. A. J. M. C. S. R.-G. R. C.-V. Inés Sittón-Candanedo, "A review of edge computing reference architectures and a new global edge proposal," Future Generation Computer Systems, pp. 278-294, 2019. 99.
T. K. H. Y. E. K. a. H. H. Y. Teranishi, "Dynamic Data Flow Processing in Edge Computing Environments," IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pp. 935-944, 2017.
X. W. Z. Z. G. S. a. L. S. C. Yao, "EdgeFlow: Open-Source Multi-layer Data Flow Processing in Edge Computing for 5G and Beyond," IEEE Network, pp. 166-173, 2019,33(2).
A. d. S. V. R. B. Marcos Dias de Assunção, "Distributed data stream processing and edge computing: A survey on resource elasticity and future directions," Journal of Network and Computer Applications, pp. 1-17, 2018,103.
"What is edge machine learning (edge ML)," edgeimpulse.com, 2024. [Online]. Available: https://docs.edgeimpulse.com/docs/concepts/what-is-edge-machine-learning.
J. P. a. J. McElhannon, "Future Edge Cloud and Edge Computing for Internet of Things Applications," IEEE Internet of Things Journal, pp. 439-449, 2018, 5(1).
tableau, "Artificial intelligence (AI) algorithms: a complete overview," [Online]. Available: https://www.tableau.com/data-insights/ai/algorithms.
V. S. D. Prasad, "Applications and Benefits of Edge AI," 8 March 2022. [Online]. Available: https://embeddedcomputing.com/technology/ai-machine-learning/applications-and-benefits-of-edge-ai.
K. B. M. P. C. a. D. P. M. Javier Mendez, "Edge Intelligence: Concepts, Architectures, Applications, and Future Directions," ACM Transactions on Embedded Computing Systems (TECS), pp. 1 - 41, 2022, 21(5).
K. Casey, "Edge computing: 5 use cases for manufacturing," 4 October 2022. [Online]. Available: https://enterprisersproject.com/article/2022/10/edge-computing-manufacturing.
Y. L. T. W. N. D. W. L. a. J. C. Haochen Hua, "Edge Computing with Artificial Intelligence: A Machine Learning Perspective," ACM Computing Surveys, pp. 1 - 35, 2023, 55(9).
F. L. X. G. a. Y. L. C. Gong, "Intelligent Cooperative Edge Computing in Internet of Things," IEEE Internet of Things Journal,, pp. 9372-9382, 2020, 7(10).
H. Z. W. F. J. Y. S. D. a. A. Y. Z. S. Deng, "Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence," IEEE Internet of Things Journal, pp. 7457-7469, 2020, 7(8).
Z. L. S. B. J. Z. A. G. Sean Marston, "Cloud computing — The business perspective," Decision Support Systems, pp. 176-189, 2011, 51(1).
C. Kime, "Load Balancing vs Server Clustering: Understand the Difference," 14 June 2021. [Online]. Available: https://firewalltimes.com/load-balancing-vs-server-clustering/.
