research-article

Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements

Authors:

André Felipe Zanella,

Antonio Bazco-Nogueras,

Cezary Ziemlicki,

Marco FioreAuthors Info & Claims

IMC '23: Proceedings of the 2023 ACM on Internet Measurement Conference

Pages 696 - 709

https://doi.org/10.1145/3618257.3624825

Published: 24 October 2023 Publication History

Abstract

We analyze 4G and 5G transport-layer sessions generated by a wide range of mobile services at over 282,000 base stations (BSs) of an operational mobile network, and carry out a statistical characterization of their demand rates, associated traffic volume and temporal duration. Based on the gained insights, we model the arrival process of sessions at heterogeneously loaded BSs, the distribution of the session-level load and its relationship with the session duration, using simple yet effective mathematical approaches. Our models are fine-tuned to a variety of services, and complement existing tools that mimic packet-level statistics or aggregated spatiotemporal traffic demands at mobile network BSs. They thus offer an original angle to mobile traffic data generation, and support a more credible performance evaluation of solutions for network planning and management. We assess the utility of the models in practical application use cases, demonstrating how they enable a more trustworthy evaluation of solutions for the orchestration of sliced and virtualized networks.

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Cited By

Ferreira GFelipe Zanella ABakirtzis SRavazzi CDabbene FCalafiore GWassell IZhang JFiore M(2024)A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access NetworksIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.343152442:11(3232-3245)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/JSAC.2024.3431524
Ingabire RBazco-Nogueras AMancuso VContreras LFolgueira J(2024)Clearing Clouds from the Horizon: Latency Characterization of Public Cloud Service Platforms2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637605(1-9)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637605

Index Terms

Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. Networks
  1. Network performance evaluation
    1. Network measurement

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Published In

cover image ACM Conferences

IMC '23: Proceedings of the 2023 ACM on Internet Measurement Conference

October 2023

746 pages

ISBN:9798400703829

DOI:10.1145/3618257

General Chairs:
Marie-José Montpetit
McGill University, Canada
,
Aris Leivadeas
École de Technologie Supérieure, Canada
,
Program Chairs:
Steve Uhlig
Queen Mary University of London, United Kingdom
,
Mobin Javed
Lahore University of Management Sciences, Pakistan

Copyright © 2023 ACM.

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Publication History

Published: 24 October 2023

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Horizon 2020 Framework Programme

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IMC '23

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SIGCOMM

IMC '23: ACM Internet Measurement Conference

October 24 - 26, 2023

Montreal QC, Canada

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

Ferreira GFelipe Zanella ABakirtzis SRavazzi CDabbene FCalafiore GWassell IZhang JFiore M(2024)A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access NetworksIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.343152442:11(3232-3245)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/JSAC.2024.3431524
Ingabire RBazco-Nogueras AMancuso VContreras LFolgueira J(2024)Clearing Clouds from the Horizon: Latency Characterization of Public Cloud Service Platforms2024 33rd International Conference on Computer Communications and Networks (ICCCN)10.1109/ICCCN61486.2024.10637605(1-9)Online publication date: 29-Jul-2024
https://doi.org/10.1109/ICCCN61486.2024.10637605

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