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The Journal of Supercomputing

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28-02-2022

An analytical modelling and QoS evaluation of fault-tolerant load balancer and web servers in fog computing

Authors: Mehmet Aldağ, Yönal Kırsal, Sadık Ülker

Published in: The Journal of Supercomputing | Issue 10/2022

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Abstract

Recently, fog computing has become popular due to its high degree of storage and processing capabilities. Thus, very large data can be processed by the users through the fog computing servers. However, the fog computing servers are likely to suffer from failures and need analytical models to predict their behaviour to deliver desired QoS. This paper proposes an analytical model and the solution approach for QoS evaluation of fault-tolerant load balancer and web servers with mobility issues in fog computing. The proposed solution approach combines the Spectral expansion solution and the system of balance equations with the Markov reward model approach to obtain more realistic QoS measurements. The proposed model is compared and contrasted with the existing models to show the effectiveness and accuracy of the proposed work. The results showed that the proposed analytical model and the solution approach are efficient and compatible in the evaluation of such system QoS measurements.

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Title: An analytical modelling and QoS evaluation of fault-tolerant load balancer and web servers in fog computing
Authors: Mehmet Aldağ
Yönal Kırsal
Sadık Ülker
Publication date: 28-02-2022
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 10/2022
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-022-04345-2

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