Edge Computing for Real-Time Data Analytics: Exploring the Use of Edge Computing to Enable Real-Time Data Analytics in IoT Applications

Authors

  • Prof. Elena Petrov Associate Professor of IoT Applications, Moscow Institute of Physics and Technology, Russia

Keywords:

Edge Computing, Real-Time Data Analytics, Internet of Things, Edge Devices, Data Processing, Latency Reduction, Data Security, Scalability, Edge Computing Architecture, IoT Applications

Abstract

Edge computing has emerged as a crucial paradigm for enabling real-time data analytics in Internet of Things (IoT) applications. This paper explores the role of edge computing in facilitating real-time data analytics, discussing its advantages, challenges, and key considerations. We review existing literature and case studies to illustrate the effectiveness of edge computing in enhancing the performance and efficiency of data analytics in IoT environments. Additionally, we highlight future research directions and potential applications of edge computing in advancing real-time data analytics capabilities.

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Published

26-02-2024

How to Cite

[1]
“Edge Computing for Real-Time Data Analytics: Exploring the Use of Edge Computing to Enable Real-Time Data Analytics in IoT Applications”, IoT and Edge Comp. J, vol. 4, no. 1, pp. 1–13, Feb. 2024, Accessed: Mar. 07, 2026. [Online]. Available: https://thesciencebrigade.org/iotecj/article/view/86