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Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing

Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing

Yönal Kirsal
Copyright: © 2023 |Pages: 31
ISBN13: 9781668444665|ISBN10: 1668444666|ISBN13 Softcover: 9781668444672|EISBN13: 9781668444689
DOI: 10.4018/978-1-6684-4466-5.ch007
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MLA

Kirsal, Yönal. "Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing." Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time, edited by Debi Prasanna Acharjya and Kauser Ahmed P., IGI Global, 2023, pp. 121-151. https://doi.org/10.4018/978-1-6684-4466-5.ch007

APA

Kirsal, Y. (2023). Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing. In D. Acharjya & K. P. (Eds.), Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time (pp. 121-151). IGI Global. https://doi.org/10.4018/978-1-6684-4466-5.ch007

Chicago

Kirsal, Yönal. "Analytical Approaches to QoS Analysis and Performance Modelling in Fog Computing." In Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time, edited by Debi Prasanna Acharjya and Kauser Ahmed P., 121-151. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-4466-5.ch007

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Abstract

This book chapter focuses on the analysis of quality of service (QoS) and performance modelling in the context of fog computing. The chapter proposes analytical frameworks for QoS analysis and performance modelling of fog computing systems. The chapter starts with an introduction to fog computing and the importance of QoS analysis in such systems. The next section presents a literature review of related work and different approaches to QoS analysis in fog computing. The proposed analytical frameworks are then described in detail, including their different components and assumptions. Case studies are also presented to demonstrate the application of the analytical frameworks. The case studies include a scenario of a fog computing system with a specific architecture and different performance metrics and models used for the analysis. The results and analysis of the case studies are then presented. Finally, the chapter concludes with a discussion of the key findings and contributions of the analytical frameworks.

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