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Open Access Journal Article

Fog Computing Frameworks for Real-Time IoT Data Processing

by David Smith 1,*
1
David Smith
*
Author to whom correspondence should be addressed.
ISTI  2022 4(1):27; https://doi.org/10.69610/j.isti.20220315
Received: 27 January 2022 / Accepted: 18 February 2022 / Published Online: 15 March 2022
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Abstract

The rapid growth of the Internet of Things (IoT) has led to an exponential increase in the volume and velocity of data being processed. Real-time data processing is crucial for the success of IoT applications, as it allows for timely decision-making and efficient resource utilization. However, traditional cloud-based processing frameworks struggle to meet the stringent latency requirements of real-time IoT applications. This paper presents a comprehensive review of fog computing frameworks designed for real-time IoT data processing. Fog computing, which distributes computing resources closer to the edge of the network, offers a promising solution to the latency problem. We explore the key components and architectures of fog computing frameworks, emphasizing their ability to process data with low latency, high scalability, and enhanced security. Additionally, we discuss the challenges faced by these frameworks in adapting to diverse IoT applications and propose potential solutions to address them. This review aims to provide insights into the current state of fog computing for real-time IoT data processing, identify research gaps, and guide future developments in this field.

Keywords: Fog Computing, Internet of Things (IoT), Real-Time Data Processing, Edge Computing, Frameworks for IoT Data Processing.;
Copyright: © 2022 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Smith, D. Fog Computing Frameworks for Real-Time IoT Data Processing. Information Sciences and Technological Innovations, 2022, 4, 27. https://doi.org/10.69610/j.isti.20220315
AMA Style
Smith D. Fog Computing Frameworks for Real-Time IoT Data Processing. Information Sciences and Technological Innovations; 2022, 4(1):27. https://doi.org/10.69610/j.isti.20220315
Chicago/Turabian Style
Smith, David 2022. "Fog Computing Frameworks for Real-Time IoT Data Processing" Information Sciences and Technological Innovations 4, no.1:27. https://doi.org/10.69610/j.isti.20220315
APA style
Smith, D. (2022). Fog Computing Frameworks for Real-Time IoT Data Processing. Information Sciences and Technological Innovations, 4(1), 27. https://doi.org/10.69610/j.isti.20220315

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