research-article

Not All Apps Are Created Equal: Analysis of Spatiotemporal Heterogeneity in Nationwide Mobile Service Usage

Authors:

Cristina Marquez,

Marco Gramaglia,

Cezary Ziemlicki,

Zbigniew SmoredaAuthors Info & Claims

CoNEXT '17: Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies

Pages 180 - 186

https://doi.org/10.1145/3143361.3143369

Published: 28 November 2017 Publication History

Abstract

We investigate how individual mobile services are consumed at a national scale, by studying data collected in a 3G/4G mobile network deployed over a major European country. Through correlation and clustering analyses, our study unveils a strong heterogeneity in the demand for different mobile services, both in time and space. In particular, we show that: (i) somehow surprisingly, almost all considered services exhibit quite different temporal usage patterns; (ii) in contrast to such temporal behavior, spatial patterns are fairly uniform across all services; (iii) when looking at usage patterns at different locations, the average traffic volume per user is dependent on the urbanization level, yet its temporal dynamics are not. Our findings do not only have sociological implications, but are also relevant to the orchestration of network resources.

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Cited By

Zanella ARubrichi SSmoreda ZFiore M(2024)Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French citiesEPJ Data Science10.1140/epjds/s13688-024-00507-913:1Online publication date: 7-Nov-2024
https://doi.org/10.1140/epjds/s13688-024-00507-9
Collet ABazco-Nogueras ABanchs AFiore M(2024)Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network ManagementIEEE Transactions on Network and Service Management10.1109/TNSM.2024.337744221:3(2802-2823)Online publication date: Jun-2024
https://doi.org/10.1109/TNSM.2024.3377442
Mishra SZanella AMartínez-Durive OMadariaga DZiemlicki CFiore M(2024)Characterizing 5G Adoption and its Impact on Network Traffic and Mobile Service ConsumptionIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621344(1531-1540)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621344
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Index Terms

Not All Apps Are Created Equal: Analysis of Spatiotemporal Heterogeneity in Nationwide Mobile Service Usage
1. Networks
  1. Network performance evaluation
    1. Network measurement
  2. Network types
    1. Mobile networks

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cover image ACM Conferences

CoNEXT '17: Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies

November 2017

492 pages

ISBN:9781450354226

DOI:10.1145/3143361

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2017

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European Commission

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CoNEXT '17

Sponsor:

SIGCOMM

CoNEXT '17: The 13th International Conference on emerging Networking EXperiments and Technologies

December 12 - 15, 2017

Incheon, Republic of Korea

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Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

Zanella ARubrichi SSmoreda ZFiore M(2024)Modeling and understanding the impact of COVID-19 containment policies on mobile service consumption in French citiesEPJ Data Science10.1140/epjds/s13688-024-00507-913:1Online publication date: 7-Nov-2024
https://doi.org/10.1140/epjds/s13688-024-00507-9
Collet ABazco-Nogueras ABanchs AFiore M(2024)Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network ManagementIEEE Transactions on Network and Service Management10.1109/TNSM.2024.337744221:3(2802-2823)Online publication date: Jun-2024
https://doi.org/10.1109/TNSM.2024.3377442
Mishra SZanella AMartínez-Durive OMadariaga DZiemlicki CFiore M(2024)Characterizing 5G Adoption and its Impact on Network Traffic and Mobile Service ConsumptionIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621344(1531-1540)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621344
Furno AZanella AStanica RFiore M(2024)Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data TrafficData Science for Transportation10.1007/s42421-024-00089-y6:1Online publication date: 15-Mar-2024
https://doi.org/10.1007/s42421-024-00089-y
Zanella ABazco-Nogueras AZiemlicki CFiore MMontpetit MLeivadeas AUhlig SJaved M(2023)Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale MeasurementsProceedings of the 2023 ACM on Internet Measurement Conference10.1145/3618257.3624825(696-709)Online publication date: 24-Oct-2023
https://dl.acm.org/doi/10.1145/3618257.3624825
Phyu HStanica RNaboulsi D(2023)Multi-Slice Privacy-Aware Traffic Forecasting at RAN Level: A Scalable Federated-Learning ApproachIEEE Transactions on Network and Service Management10.1109/TNSM.2023.326772520:4(5038-5052)Online publication date: Dec-2023
https://doi.org/10.1109/TNSM.2023.3267725
Phyu HNaboulsi DStanica RPoitau G(2023)Towards Energy Efficiency in RAN Network Slicing2023 IEEE 48th Conference on Local Computer Networks (LCN)10.1109/LCN58197.2023.10223377(1-9)Online publication date: 2-Oct-2023
https://doi.org/10.1109/LCN58197.2023.10223377
Li SFrancini GMagli E(2023)Temporal dynamics clustering for analyzing cell behavior in mobile networksComputer Networks10.1016/j.comnet.2023.109578223(109578)Online publication date: Mar-2023
https://doi.org/10.1016/j.comnet.2023.109578
Kim JLee YLim HJung YKim SHan DBianchi GMei A(2022)OutRANProceedings of the 18th International Conference on emerging Networking EXperiments and Technologies10.1145/3555050.3569122(369-385)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1145/3555050.3569122
Vitello PCapponi AFiandrino CCantelmo GKliazovich D(2022)Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban EnvironmentsIEEE Transactions on Sustainable Computing10.1109/TSUSC.2021.30566217:4(736-748)Online publication date: 1-Oct-2022
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