skip to main content
10.1145/2483977.2483991acmconferencesArticle/Chapter ViewAbstractPublication PagesmmsysConference Proceedingsconference-collections
research-article

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

Published:28 February 2013Publication 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.

References

  1. Netview Media Client. http://www.netview.no/index.php?page=downloader, 2011.Google ScholarGoogle Scholar
  2. Cisco visual networking index: Forecast and methodology, 2011-2016. http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-481360_ns827_Networking_Solutions_White_Paper.html, 2012.Google ScholarGoogle Scholar
  3. GPSD --- a GPS service daemon. http://catb.org/gpsd/index.html, 2012.Google ScholarGoogle Scholar
  4. YouTube statistics. http://www.youtube.com/t/press_statistics, Nov. 2012.Google ScholarGoogle Scholar
  5. S. Akhshabi, A. C. Begen, and C. Dovrolis. An experimental evaluation of rate-adaptation algorithms in adaptive streaming over http. In Proceedings of the ACM International Conference on Multimedia Systems (MMSys), pages 157--168, Feb. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. K. Evensen, A. Petlund, H. Riiser, P. Vigmostad, D. Kaspar, C. Griwodz, and P. Halvorsen. Demo: Quality-adaptive video streaming with dynamic bandwidth aggregation on roaming, multi-homed clients (demo). In Proceedings of the ACM International Conference on Mobile Systems, Applications and Services (MobiSys), June 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. K. Evensen, A. Petlund, H. Riiser, P. Vigmostad, D. Kaspar, C. Griwodz, and P. Halvorsen. Mobile video streaming using location-based network prediction and transparent handover. In Proceedings of the ACM International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), June 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. Müller, S. Lederer, and C. Timmerer. An evaluation of dynamic adaptive streaming over http in vehicular environments. In Proceeding of the ACM Workshop on Mobile Video (MoVid), Feb. 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. R. Pantos and W. May. HTTP live streaming. http://tools.ietf.org/html/draft-pantos-http-live-streaming-07, 2011.Google ScholarGoogle Scholar
  10. H. Riiser, H. S. Bergsaker, P. Vigmostad, C. Griwodz, and P. Halvorsen. A comparison of quality scheduling in commercial adaptive http streaming solutions on a 3g network. In Proceedings of the ACM Workshop on Mobile Video (MoVid), Feb. 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. H. Riiser, T. Endestad, P. Vigmostad, C. Griwodz, and P. Halvorsen. Video streaming using a location-based bandwidth-lookup service for bitrate planning. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), 8(3), 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. H. Riiser, P. Halvorsen, C. Griwodz, and B. Hestnes. Performance measurements and evaluation of video streaming in HSDPA networks with 16QAM modulation. In Proceedings of the IEEE International conference on Multimedia and Expo (ICME), pages 489--492, June 2008.Google ScholarGoogle ScholarCross RefCross Ref
  13. H. Riiser, P. Vigmostad, C. Griwodz, and P. Halvorsen. Bitrate and video quality planning for mobile streaming scenarios using a gps-based bandwidth lookup service. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), July 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. H. Riiser, P. Vigmostad, C. Griwodz, and P. Halvorsen. DATASET: HSDPA-bandwidth logs for mobile HTTP streaming scenarios. http://home.ifi.uio.no/paalh/dataset/hsdpa-tcp-logs/, Oct. 2012.Google ScholarGoogle Scholar
  15. Sandvine Intelligent Broadband Networks. Global internet phenomena report: 1h 2012. http://www.sandvine.com/news/global_broadband_trends.asp, Apr. 2012.Google ScholarGoogle Scholar
  16. Sandvine Intelligent Broadband Networks. Sandvine report: Mobile networks teeming with streaming. http://www.sandvine.com/news/pr_detail.asp? ID=366, Apr. 2012.Google ScholarGoogle Scholar
  17. T. Stockhammer. Dynamic adaptive streaming over HTTP: Standards and design principles. In Proceedings of the ACM International Conference on Multimedia Systems (MMSys), pages 133--144, Feb. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. Zambelli. Smooth streaming technical overview. http://learn.iis.net/page.aspx/626/smooth-streaming-technical-overview/, 2009.Google ScholarGoogle Scholar

Index Terms

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

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • 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

        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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 February 2013

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        MMSys '13 Paper Acceptance Rate15of63submissions,24%Overall Acceptance Rate176of530submissions,33%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader