Skip to main content

Using Passive Measuring to Calibrate Active Measuring Latency

  • Conference paper
Information Networking. Convergence in Broadband and Mobile Networking (ICOIN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3391))

Included in the following conference series:

Abstract

The network performance obtained from the active probe packets is not equal to the performance experienced by users. We can obtain more exact result by using the characteristics of packets gained by passive measuring to calibrate the result of active measuring. The method of combining passive and active approaches has some advantages such as protocol-independent, negligible extra traffic, convenience and being able to estimate individual user performance. Considering the number of user data packets arriving between probe packets and the latency alteration of neighborhood probe packets, we propose the Pcoam (Passive Calibration of Active Measurement) method. It could reflect the actual network status more exactly, especially in the case of network congestion and packet loss, which has been validated by simulation.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Almes, G., Kalidindi, S., Zekauskas, M.: A one-way delay metric for ippm. Technical Report RFC2679, IETF (1999)

    Google Scholar 

  2. Paxon, V., Almes, G., Mahdavi, J., Mathis, M.: Framework for ip performance metric. Technical Report RFC 2330, IETF (1998)

    Google Scholar 

  3. Breibart, Y., Chan, C.Y., Carofalakis, M., Rastogi, R., Silberschatz, A.: Efficiently monitoring bandwidth and latency in ip networks. In: IEEE INFOCOM 2000 (2000)

    Google Scholar 

  4. Aida, M., Miyoshi, N., Ishibashi, K.: A scalable and lightweight qos monitoring technique combining passive and active approaches. In: IEEE INFOCOM 2003 (2003)

    Google Scholar 

  5. Aida, M., Ishibashi, K., Kanazawa, T.: Compact-monitor: Change-of-measure based passive/active monitoring —weighted active sampling scheme to infer qos—. In: IEEE SAINT 2002 Workshop (2002)

    Google Scholar 

  6. Ishibashi, K., Aida, M., Kuribayashi, S.: Estimating packet loss-rate by using delay information and combined with change-of-measure framework. In: IEEE GLOBECOM 2003 (2003)

    Google Scholar 

  7. ns 2 (The network simulator - ns-2), http://www.isi.edu/nsnam/ns

  8. Ishibashi, K., Kanazawa, T., Aida, M.: Active/passive combination type performance measurement method using change-of-measure framework. In: IEEE GLOBECOM 2002 (2002)

    Google Scholar 

  9. Lindh, T.: A new approach to performance monitoring in ip networks —— combining active and passive methods. In: Passive and Active Measurements 2002 (2002)

    Google Scholar 

  10. Duffield, N.G., Lund, C., Thorup, M.: Properties and prediction of flow statistics from sampled packet streams. In: ACM SIGCOMM Internet Measurement Workshop 2002 (2002)

    Google Scholar 

  11. Liu, X., Yin, J., Tang, L.: Analysis of efficient monitoring method for the network flow. Journal of Software 300–304 (2003)

    Google Scholar 

  12. Willinger, W., Paxson, V., Taqqu, M.S.: Self-Similarity and Heavy Tails: Structural Modeling of Network Traffic. Birkhauser Verlag, Basel (1998)

    Google Scholar 

  13. Pasztor, A., Veitch, D.: On the scope of end-to-end probing methods. IEEE Communications Letters (2002)

    Google Scholar 

  14. Patel, S.H.: Performance inference engine (pie) —— deducing more performance using less data. In: Passive and Active Measurements 2000 (2000)

    Google Scholar 

  15. Paxon, V.: End-to-end internet packet dynamics. IEEE/ACM Trans. Networking 277–292 (1999)

    Google Scholar 

  16. Liu, X., Yin, J., Cai, Z.: The analysis of algorithm for efficient network flow monitoring. In: 2004 IEEE International Workshop on IPOM (2004)

    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

Cai, Z., Zhao, W., Yin, J., Liu, X. (2005). Using Passive Measuring to Calibrate Active Measuring Latency. In: Kim, C. (eds) Information Networking. Convergence in Broadband and Mobile Networking. ICOIN 2005. Lecture Notes in Computer Science, vol 3391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30582-8_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30582-8_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24467-7

  • Online ISBN: 978-3-540-30582-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics