A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario
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 archit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/11/2/423 |
| _version_ | 1797439005338370048 |
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| author | Marialisa Scatá Aurelio La Corte |
| author_facet | Marialisa Scatá Aurelio La Corte |
| author_sort | Marialisa Scatá |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T11:46:35Z |
| format | Article |
| id | doaj.art-8142f926eb424dd38c2a5b8580c6b9bc |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:46:35Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-8142f926eb424dd38c2a5b8580c6b9bc2023-11-30T23:22:00ZengMDPI AGMathematics2227-73902023-01-0111242310.3390/math11020423A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G ScenarioMarialisa Scatá0Aurelio La Corte1Department of Electrical, Electronics and Computer Engineering, University of Catania, 95125 Catania, ItalyMinistry of Economic Development, Division V DGROSIB—Information Systems and Digital Transformation, Via V. Veneto, 33187 Roma, ItalyWithin 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.https://www.mdpi.com/2227-7390/11/2/423quality of servicemultilayer social networkstemporal networksepidemic spreading6Gmicroservice architecture |
| spellingShingle | Marialisa Scatá Aurelio La Corte A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario Mathematics quality of service multilayer social networks temporal networks epidemic spreading 6G microservice architecture |
| title | A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario |
| title_full | A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario |
| title_fullStr | A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario |
| title_full_unstemmed | A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario |
| title_short | A Complex Insight for Quality of Service Based on Spreading Dynamics and Multilayer Networks in a 6G Scenario |
| title_sort | complex insight for quality of service based on spreading dynamics and multilayer networks in a 6g scenario |
| topic | quality of service multilayer social networks temporal networks epidemic spreading 6G microservice architecture |
| url | https://www.mdpi.com/2227-7390/11/2/423 |
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