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A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario

Author

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  • Marialisa Scatá

    (Department of Electrical, Electronics and Computer Engineering, University of Catania, 95125 Catania, Italy)

  • Aurelio La Corte

    (Ministry of Economic Development, Division V DGROSIB—Information Systems and Digital Transformation, Via V. Veneto, 33187 Roma, Italy)

Abstract

Within the 6G vision, the future of mobile communication networks is expected to become more complex, heterogeneous, and characterized by denser deployments with a myriad of users in an ever-more dynamic environment. There is an increasing intent to provide services following the microservice architecture, thus gaining from higher scalability and significant reliability. Microservices introduce novel challenges and the level of granularity impacts performances, due to complex composition patterns. This openness in design demands service requirements be heterogeneous and dynamic. To this end, we propose a framework and a mathematical approach to investigate the complex quality of services. We exploit the temporal multilayer network representation and analysis jointly, with the spreading dynamics of user experience. We study the joint impact of structural heterogeneity and the evolutionary dynamics of the temporal multilayer quality network, composed of networked parameters, and a temporal multilayer social network, populated by a social layered structure of users. We conducted simulations to display our findings on how this modeling approach enables evaluation of otherwise-overlooked information on quality arising from a profound investigation of the structural-complexity and social-dynamics measurements.

Suggested Citation

  • Marialisa Scatá & Aurelio La Corte, 2023. "A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:423-:d:1034583
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    References listed on IDEAS

    as
    1. Marcus Alexander & Laura Forastiere & Swati Gupta & Nicholas A. Christakis, 2022. "Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(30), pages 2120742119-, July.
    2. M E J Newman & Carrie R Ferrario, 2013. "Interacting Epidemics and Coinfection on Contact Networks," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    3. Marcus Alexander & Laura Forastiere & Swati Gupta & Nicholas A. Christakis, 2022. "Algorithms for seeding social networks can enhance the adoption of a public health intervention in urban India," Decision Analysis, INFORMS, vol. 119(30), pages 2120742119-, July.
    4. Marialisa Scatá & Barbara Attanasio & Aurelio La Corte, 2021. "Cognitive Profiling of Nodes in 6G through Multiplex Social Network and Evolutionary Collective Dynamics," Future Internet, MDPI, vol. 13(5), pages 1-17, May.
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