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Review Papers | Information Technology | Kenya | Volume 13 Issue 11, November 2024 | Popularity: 5.4 / 10

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A Systematic Review of Key Variables Affecting Fog Computing Performance in IoT Applications

Kanuku Watson, Njenga Stephen, Musumba George

Abstract: Fog computing is a decentralized computing infrastructure in the Internet of Things (IOT) that brings cloud computing capabilities closer to the data source. Fog layer provides localized processing capabilities, reducing delay and improving real-time decision-making. It involves, a large number of disparate, pervasive, and decentralized devices collaborating and interacting to analyze dynamic data. These devices are used for time-sensitive processes like smart health. Despite the sensitivity of its operation, performance of the fog layer has not been given much attention. Fog computing performance is governed by a number of fundamental parameters. These parameters have not been extensively analyzed in existing literature despite of their importance. This research undertakes a literature review to determine the major variables influencing fog computing performance in IoT applications. Through a comprehensive analysis of 30 peer-reviewed articles published between 2020 and 2024, we examine such variables. The results highlight six critical variables including; packet loss rate, queue time, latency, channel utilization, response time and throughput. This paper further evaluates the inter dependency and collective effects of these variables on fog performance. The research aims to offer insights for building resilient fog computing frameworks that can adjust to the changing needs of IoT environments. The findings provide valuable grounds for future research and development in fog computing architectures tailored to IoT needs, in order to improve service delivery and user experience.

Keywords: Fog computing, fog performance, fog performance variables, Internet of Things, systematic review

Edition: Volume 13 Issue 11, November 2024

Pages: 1697 - 1705

DOI: https://www.doi.org/10.21275/SR241017130635

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