An Empirical Study on AI-Powered Edge Computing Architectures for Real-Time IoT Applications
Date
2024-03
Authors
Ngu, Anne H. H.
Yasmin, Awatif
Journal Title
Journal ISSN
Volume Title
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Abstract
Edge computing is indispensable for IoT applications, handling data from billions of devices and expected to surpass 41.6 billion installations by 2023.
It facilitates swift decision-making at the device level.
It conserves network bandwidth by processing data locally, making it suitable for resource-constrained or costly networks.
Bolsters privacy and security by storing data locally, particularly crucial for applications that involves processing personal data.
Description
Keywords
AI, computing architectures, IoT applications
Citation
Ngu, A. H. H., & Yasmin, A. (2024). An empirical study on AI-powered edge computing architectures for real-time IoT applications. Poster presented at the Health Scholar Showcase, Translational Health Research Center, San Marcos, Texas.