An Experimental Study of the Fog-Computing-Based Systems Reliability

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Abstract

The current paper deals with the experimental research of the fog-computing concept application to the information and control systems in terms of the system reliability. The research of publications presented allows to conclude that contemporary research and existing models do not clarify the expediency of the fog-computing concept application to the information systems requiring the reliable functioning. Also some parameters, which should be taken into account, are not incorporated into the known problem models. In this paper the model of task distribution problem is proposed, which pays attention to such particularity of node workload forming as the transitory data transfer. The transitory data transfer through the particular node generates the additional workload, which is included into the proposed model to estimate the node reliability. Also the simulation was conducted, whose main result consists in the fact that the expediency of the fog-computing application is quite relative and depends on such parameters as computational complexities of the tasks, transferred data volume and the ratio between the transitory data volume and the additional node workload.

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Klimenko, A. B., & Melnik, E. V. (2020). An Experimental Study of the Fog-Computing-Based Systems Reliability. In Advances in Intelligent Systems and Computing (Vol. 1225 AISC, pp. 438–449). Springer. https://doi.org/10.1007/978-3-030-51971-1_36

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