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Commute path bandwidth traces from 3G networks: analysis and applications

Authors:

Paul Vigmostad,

Carsten Griwodz,

Pål HalvorsenAuthors Info & Claims

MMSys '13: Proceedings of the 4th ACM Multimedia Systems Conference

Pages 114 - 118

https://doi.org/10.1145/2483977.2483991

Published: 28 February 2013 Publication History

Abstract

In this dataset paper, we present and make available real-world measurements of the throughput that was achieved at the application layer when adaptive HTTP streaming was performed over 3G networks using mobile devices. For the streaming sessions, we used popular commute routes in and around Oslo (Norway) traveling with different types of public transportation (metro, tram, train, bus and ferry). We also have a few logs using a car. Each log provides a times-tamp, GPS coordinates and the measured number of bytes downloaded for approximately every second of the route. The dataset can be used in several ways, but the most obvious application is to emulate the same network bandwidth behavior (on specific geographical positions) for repeated experiments.

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Cited By

Lebreton PYamagishi K(2024)Long-Term Adaptive Bitrate Control MechanismIEICE Transactions on Communications10.23919/transcom.2023EBP3196E107-B:11(817-830)Online publication date: Nov-2024
https://doi.org/10.23919/transcom.2023EBP3196
Li TZhao ZYin JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Minerva: Enhancing Quantum Network Performance for High-Fidelity Multimedia TransmissionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681142(3704-3712)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681142
Wang LSingh SChakareski JHajiesmaili MSitaraman R(2024)BONES: Near-Optimal Neural-Enhanced Video StreamingProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36560148:2(1-28)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3656014
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Index Terms

Commute path bandwidth traces from 3G networks: analysis and applications
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

MMSys '13: Proceedings of the 4th ACM Multimedia Systems Conference

February 2013

304 pages

ISBN:9781450318945

DOI:10.1145/2483977

General Chair:
Carsten Griwodz
Simula Research Laboratory & University of Oslo, Norway

Copyright © 2013 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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Publication History

Published: 28 February 2013

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Norges Forskningsråd

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MMSys '13

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MMSys '13: Multimedia Systems Conference 2013

February 28 - March 1, 2013

Oslo, Norway

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MMSys '13 Paper Acceptance Rate 15 of 63 submissions, 24%;

Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

Lebreton PYamagishi K(2024)Long-Term Adaptive Bitrate Control MechanismIEICE Transactions on Communications10.23919/transcom.2023EBP3196E107-B:11(817-830)Online publication date: Nov-2024
https://doi.org/10.23919/transcom.2023EBP3196
Li TZhao ZYin JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Minerva: Enhancing Quantum Network Performance for High-Fidelity Multimedia TransmissionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681142(3704-3712)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681142
Wang LSingh SChakareski JHajiesmaili MSitaraman R(2024)BONES: Near-Optimal Neural-Enhanced Video StreamingProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/36560148:2(1-28)Online publication date: 29-May-2024
https://dl.acm.org/doi/10.1145/3656014
Wu DWang XQiao YWang ZJiang JCui SWang FSekar VYu MSeneviratne AVeitch D(2024)NetLLM: Adapting Large Language Models for NetworkingProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672268(661-678)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672268
Hodžić KCosovic MMrdovic SQuinlan JRaca D(2024)DashReStreamer: Framework for Creation of Impaired Video Clips under Realistic Network ConditionsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/364001621:1(1-26)Online publication date: 16-Dec-2024
https://dl.acm.org/doi/10.1145/3640016
Jia LZhou CHuang TLi CSun LChua TNgo CKa-Wei Lee RKumar RLauw H(2024)Meet Challenges of RTT Jitter, A Hybrid Internet Congestion Control AlgorithmProceedings of the ACM Web Conference 202410.1145/3589334.3645338(2768-2776)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3589334.3645338
Zhang YZhang WDu HYan CLiu LZheng Q(2024)FHVAC: Feature-Level Hybrid Video Adaptive Configuration for Machine-Centric Live StreamingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.337204635:5(780-795)Online publication date: May-2024
https://doi.org/10.1109/TPDS.2024.3372046
Jeong SKim BCha SSeo KChang HLee JKim YNoh J(2024)Real-Time CNN Training and Compression for Neural-Enhanced Adaptive Live StreamingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.337737246:9(6023-6039)Online publication date: Sep-2024
https://doi.org/10.1109/TPAMI.2024.3377372
Yaqoob AMuntean G(2024)FReD-ViQ: Fuzzy Reinforcement Learning Driven Adaptive Streaming Solution for Improved Video Quality of ExperienceIEEE Transactions on Network and Service Management10.1109/TNSM.2024.345001421:5(5532-5547)Online publication date: Oct-2024
https://doi.org/10.1109/TNSM.2024.3450014
Jing WLiu CCai HWen XLu ZWang ZZhang H(2024)MEC-Based Super-Resolution Enhanced Adaptive Video Streaming Optimization for Mobile Networks With Satellite BackhaulIEEE Transactions on Network and Service Management10.1109/TNSM.2024.337769321:3(2977-2991)Online publication date: Jun-2024
https://doi.org/10.1109/TNSM.2024.3377693
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