Skip to main content

Detecting and Profiling TCP Connections Experiencing Abnormal Performance

  • Conference paper
Traffic Monitoring and Analysis (TMA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7189))

Included in the following conference series:

Abstract

We study functionally correct TCP connections – normal set-up, data transfer and tear-down – that experience lower than normal performance in terms of delay and throughput. Several factors, including packet loss or application behavior, may lead to such abnormal performance. We present a methodology to detect TCP connections with such abnormal performance from packet traces recorded at a single vantage point. Our technique decomposes a TCP transfer into periods where: (i) TCP is recovering from losses, (ii) the client or the server are thinking or preparing data, respectively, or (iii) the data is sent but at an abnormally low rate. We apply this methodology to several traces containing traffic from FTTH, ADSL, and Cellular access networks. We discover that regardless of the access technology type, packet loss dramatically degrades performance as TCP is rarely able to rely on Fast Retransmit to recover from losses. However, we also find out that the TCP timeout mechanism has been optimized in Cellular networks as compared to ADSL/FTTH technologies. Concerning loss-free periods, our technique exposes various abnormal performance, some being benign, with no impact on user, e.g., p2p or instant messaging applications, and some that are more critical, e.g., HTTPS sessions.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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. Vu-Brugier, G.: Analysis of the impact of early fiber access deployment on residential internet traffic. In: 21st International Teletraffic Congress, ITC 21 2009, pp. 1–8 (September 2009)

    Google Scholar 

  2. Barford, P., Kline, J., Plonka, D., Ron, A.: A signal analysis of network traffic anomalies. In: Proceedings of the 2nd ACM SIGCOMM Workshop on Internet Measurment, IMW 2002, pp. 71–82. ACM, New York (2002)

    Chapter  Google Scholar 

  3. Lakhina, A., Crovella, M., Diot, C.: Diagnosing network-wide traffic anomalies. In: ACM SIGCOMM, pp. 219–230 (2004)

    Google Scholar 

  4. Soule, A., Salamatian, K., Taft, N.: Combining filtering and statistical methods for anomaly detection. In: Proceedings of the 5th ACM SIGCOMM Conference on Internet Measurement, IMC 2005, p. 31. USENIX Association, Berkeley (2005)

    Google Scholar 

  5. Tellenbach, B., Burkhart, M., Sornette, D., Maillart, T.: Beyond Shannon: Characterizing Internet Traffic with Generalized Entropy Metrics. In: Moon, S.B., Teixeira, R., Uhlig, S. (eds.) PAM 2009. LNCS, vol. 5448, pp. 239–248. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Silveira, F., Diot, C., Taft, N., Govindan, R.: Astute: detecting a different class of traffic anomalies. SIGCOMM Comput. Commun. Rev. 40, 267–278 (2010)

    Article  Google Scholar 

  7. Hafsaoui, A., Collange, D., Urvoy-Keller, G.: Revisiting the Performance of Short TCP Transfers. In: Fratta, L., Schulzrinne, H., Takahashi, Y., Spaniol, O. (eds.) NETWORKING 2009. LNCS, vol. 5550, pp. 260–273. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Jaiswal, S., Iannaccone, G., Diot, C., Kurose, J., Towsley, D.: Measurement and classification of out-of-sequence packets in a tier-1 ip backbone. IEEE/ACM Trans. 15(1), 54–66 (2007)

    Article  Google Scholar 

  9. van der Maaten, L.J.P.: t-distributed stochastic neighbor embedding, http://homepage.tudelft.nl/19j49/t-SNE.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 IFIP International Federation for Information Processing

About this paper

Cite this paper

Hafsaoui, A., Urvoy-Keller, G., Siekkinen, M., Collange, D. (2012). Detecting and Profiling TCP Connections Experiencing Abnormal Performance. In: Pescapè, A., Salgarelli, L., Dimitropoulos, X. (eds) Traffic Monitoring and Analysis. TMA 2012. Lecture Notes in Computer Science, vol 7189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28534-9_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28534-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28533-2

  • Online ISBN: 978-3-642-28534-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics