Skip to main content

On the Stationarity of TCP Bulk Data Transfers

  • Conference paper
Passive and Active Network Measurement (PAM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3431))

Included in the following conference series:

Abstract

While the Internet offers a single best-effort service, we remark that (i) core backbones are in general over provisioned, (ii) end users have increasingly faster access and (iii) CDN and p2p solutions can mitigate network variations. As a consequence, the Internet is to some extent already mature enough for the deployment of multimedia applications and applications that require long and fast transfers, e.g. software or OS updates. In this paper, we devise a tool to investigate the stationarity of long TCP transfers over the Internet, based on the Kolomogorov-Smirnov goodness of fit test. We use BitTorrent to obtain a set of long bulk transfers and test our tool. Experimental results show that our tool correctly identify noticeable changes in the throughput of connections. We also focus on receiver window limited connections to try to relate the stationarity observed by our tool to typical connection behaviors.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Basseville, M., Nikiforov, I.V.: Detection of Abrupt Changes - Theory and Application. Prentice-Hall, Inc, Englewood Cliffs (1993)

    Google Scholar 

  2. Ben Azzouna, N., Clerot, F., Fricker, C., Guillemin, F.: Modeling ADSL traffic on an IP backbone link, Annals of Telecommunications (December 2004)

    Google Scholar 

  3. Ben-David, S., Gehrke, J., Kifer, D.: Detecting changes in data streams. In: Proceedings of the 30th International Conference on Very Large Databases (2004)

    Google Scholar 

  4. Cao, J., Cleveland, W.S., Lin, D., Sun, D.X.: On the nonstationarity of Internet traffic. In: Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, pp. 102–112. ACM Press, New York (2001)

    Chapter  Google Scholar 

  5. Castro, M., Druschel, P., Kermarrec, A.-M., Nandi, A., Rowstron, A., Singh, A.: SplitStream: High-bandwidth multicast in a cooperative environment. In: Proceedings of SOSP 2003, New York, USA (October 2003)

    Google Scholar 

  6. Chatfield, C.: The analysis of time series - An introduction. Chapman & Hall, London, UK (1996)

    MATH  Google Scholar 

  7. De Cuetos, P., Guillotel, P., Ross, K., Thoreau, D.: Implementation of Adaptive Streaming of Stored MPEG-4 FGS Video over TCP. In: International Conference on Multimedia and Expo (ICME 2002) (August 2002)

    Google Scholar 

  8. Dilley, J., Maggs, B., Parikh, J., Prokop, H., Sitaraman, R., Weihl, B.: Globally distributed content delivery. In: Internet Computing, pp. 50–58. IEEE, Los Alamitos (2002)

    Google Scholar 

  9. Eghbali, H.: K-S Test for Detecting Changes from Landsat Imagery Data. IEEE Trans Syst., Man & Cybernetics 9(1), 17–23 (1979)

    Article  Google Scholar 

  10. Fomenkov, M., Keys, K., Moore, D., Claffy, K.: Longitudinal study of Internet traffic from 1998-2003. In: Cooperative Association for Internet Data Analysis - CAIDA (2003)

    Google Scholar 

  11. Izal, M., Urvoy-Keller, G., Biersack, E., Felber, P., Al Hamra, A., Garcés-Erice, L.: Dissecting BitTorrent: Five Months in a Torrent’s Lifetime. In: Passive and Active Measurements 2004 (April 2004)

    Google Scholar 

  12. Jain, M., Dovrolis, C.: End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput. IEEE/ACM Transactions on Networking 11(4), 537–549 (2003)

    Article  Google Scholar 

  13. Karagiannis, T., et al.: A Nonstationary Poisson View of Internet Traffic. In: Proc. Infocom 2004 (March 2004)

    Google Scholar 

  14. Krishnamurthy, B., Sen, S., Zhang, Y., Chen, Y.: Sketch-based change detection: methods, evaluation, and applications. In: IMC 2003: Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement, pp. 234–247. ACM Press, New York (2003)

    Chapter  Google Scholar 

  15. Markopoulou, A., Tobagi, F., Karam, M.J.: Assessing the quality of voice communications over Internet backbones. IEEE/ACM Transactions on Networking 11, 747–760 (2003)

    Article  Google Scholar 

  16. Siegel, S., Castellan, N.J.: Nonparametric statistics for the Behavioral Sciences. McGraw-Hill, New York (1988)

    Google Scholar 

  17. Zhang, Y., Paxson, V., Shenker, S.: The Stationarity of Internet Path Properties: Routing, Loss, and Throughput, ACIRI (May 2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Urvoy-Keller, G. (2005). On the Stationarity of TCP Bulk Data Transfers. In: Dovrolis, C. (eds) Passive and Active Network Measurement. PAM 2005. Lecture Notes in Computer Science, vol 3431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31966-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-31966-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25520-8

  • Online ISBN: 978-3-540-31966-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics