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Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis

Márquez, Cristina and Gramaglia, Marco and Fiore, Marco and Banchs, Albert and Smoreda, Zbigniew (2020) Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis. In: IEEE 18th Mediterranean Communication and Computer Networking Conference (IEEE MedComNet 2020), June 17-19, 2020, Online (previously Arona, Italy).

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In this paper, we investigate the existence and prevalence of comparable dynamics in the temporal fluctuations for the traffic demands generated by mobile applications. To this end, we hinge upon a spectral analysis framework, by computing Discrete Fourier Transforms of the typical demands for tens of popular mobile services observed in an operational metropolitan-scale network. We filter, cluster, and analyse hundreds of frequency components, and identify a substantial set of regular patterns that are common across most service demands. We also unveil how several mobile services defy classification, and have instead highly distinguishing temporal dynamics.

Item Type: Conference or Workshop Papers (Paper)
Depositing User: Marco Fiore
Date Deposited: 08 Jul 2020 06:22
Last Modified: 08 Jul 2020 06:22

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