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Examining TCP Short Flow Performance in Cellular Networks Through Active and Passive Measurements

Authors:

Stefan Alfredsson,

Anna BrunstromAuthors Info & Claims

AllThingsCellular '15: Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges

Pages 7 - 12

https://doi.org/10.1145/2785971.2785974

Published: 17 August 2015 Publication History

Abstract

In this study we examine the conditions in a current cellular network by examining data passively collected in the core of a cellular operator during a 24-hour period. More than 2 billion traffic measurement data points from over 500,000 cellular users are analyzed. The analysis characterizes the Time-of-Day (ToD) variations for traffic intensity and session length and serves as a complement to the active measurements also performed. A comprehensive active measurement campaign was completed in the HSDPA+ and LTE networks of the four major Swedish operators. We collect around 50,000 data points from stationary cellular modems and analyze the ToD variation pattern for underlying network layer metrics such as delay and throughput. In conjunction with the time-varying session size distribution obtained from the passive measurements, we then analyze the ToD impact on TCP flows of varying sizes. The ToD effects are examined using time series analysis with Lomb-Scargle periodograms and differential Bayesian Information Criterion to allow comparison of the relative impact of the network ToD effects. The results show that ToD effects are predominantly impacting longer-running flows, and although short flows are also impacted they are mostly constrained by other issues such as protocol efficiency.

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Cited By

Murayama KOkabe Y(2024)Network State Estimation by Spectral Analysis of Passively Measured TCP Flows2024 International Conference on Information Networking (ICOIN)10.1109/ICOIN59985.2024.10572071(373-378)Online publication date: 17-Jan-2024
https://doi.org/10.1109/ICOIN59985.2024.10572071
Vargas Anamuro CBlanc ALagrange X(2024)Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE systemTelecommunication Systems10.1007/s11235-024-01196-5Online publication date: 5-Jul-2024
https://doi.org/10.1007/s11235-024-01196-5
Atxutegi EFajardo JLiberal F(2018)Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency DeploymentsBroadband Communications Networks - Recent Advances and Lessons from Practice10.5772/intechopen.71779Online publication date: 19-Sep-2018
https://doi.org/10.5772/intechopen.71779
Show More Cited By

Index Terms

Examining TCP Short Flow Performance in Cellular Networks Through Active and Passive Measurements
1. Networks

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Published In

cover image ACM Conferences

AllThingsCellular '15: Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges

August 2015

70 pages

ISBN:9781450335386

DOI:10.1145/2785971

Program Chairs:
David Choffnes
Northeastern University
,
Kobus Van der Merwe
University of Utah

Copyright © 2015 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]

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2015

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Research-article

Funding Sources

Stiftelsen för Kunskaps- och Kompetensutveckling

Conference

SIGCOMM '15

Sponsor:

SIGCOMM

SIGCOMM '15: ACM SIGCOMM 2015 Conference

August 17, 2015

London, United Kingdom

Acceptance Rates

AllThingsCellular '15 Paper Acceptance Rate 8 of 16 submissions, 50%;

Overall Acceptance Rate 24 of 51 submissions, 47%

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Cited By

Murayama KOkabe Y(2024)Network State Estimation by Spectral Analysis of Passively Measured TCP Flows2024 International Conference on Information Networking (ICOIN)10.1109/ICOIN59985.2024.10572071(373-378)Online publication date: 17-Jan-2024
https://doi.org/10.1109/ICOIN59985.2024.10572071
Vargas Anamuro CBlanc ALagrange X(2024)Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE systemTelecommunication Systems10.1007/s11235-024-01196-5Online publication date: 5-Jul-2024
https://doi.org/10.1007/s11235-024-01196-5
Atxutegi EFajardo JLiberal F(2018)Transport Protocol Performance and Impact on QoS while on the Move in Current and Future Low Latency DeploymentsBroadband Communications Networks - Recent Advances and Lessons from Practice10.5772/intechopen.71779Online publication date: 19-Sep-2018
https://doi.org/10.5772/intechopen.71779
Atxutegi EArvidsson ÅLiberal FGrinnemo KBrunstrom A(2018)TCP Performance over Current Cellular Access: A Comprehensive AnalysisAutonomous Control for a Reliable Internet of Services10.1007/978-3-319-90415-3_14(371-400)Online publication date: 25-May-2018
https://doi.org/10.1007/978-3-319-90415-3_14
Homayouni SRaida VSvoboda PRupp M(2017)The impact of duration and settings of TCP measurements on available bandwidth estimation in mobile networks2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2017.8292522(1-6)Online publication date: Oct-2017
https://doi.org/10.1109/PIMRC.2017.8292522
Atxutegi ELiberal FGrinnemo KBrunstrom AArvidsson ARobert R(2016)TCP behaviour in LTE: Impact of flow start-up and mobility2016 9th IFIP Wireless and Mobile Networking Conference (WMNC)10.1109/WMNC.2016.7543932(73-80)Online publication date: Jul-2016
https://doi.org/10.1109/WMNC.2016.7543932
Subramaniam KGovindan KJaiswal SDas Sunkada Gopinath S(2016)Minimum complexity APP prioritization by bandwidth apportioning in smart phones2016 IEEE Wireless Communications and Networking Conference10.1109/WCNC.2016.7564972(1-6)Online publication date: Apr-2016
https://doi.org/10.1109/WCNC.2016.7564972
Garcia JAlfredsson SBrunstrom A(2016)Estimating data transfer capacity for intermittent connectivity: A transport aware model2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2016.7794853(1-6)Online publication date: Sep-2016
https://doi.org/10.1109/PIMRC.2016.7794853

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