Abstract
Traffic measurement and analysis is nowadays a very critical task and requires complex and high-cost traffic analysis equipment and infrastructure. The difficulty increases when high bandwidth connections are to be monitored. Network topology, the network technology used, applications and user behavior influence the overall traffic on the network. For network planning and provisioning is crucial to know the trends of the traffic behavior, that is why the analysis of protocol application is very useful. Most recent low-cost monitoring platforms for high-speed links rely on samples of the whole traffic. The purpose of the measurements range from monitoring and traffic characterization, to charging and billing. It is a must to know the statistical validity of the sampled data and the consequent detailed results obtained by classifying the traffic according to different categories. This fact is even more important when it is intended to be used for charging or cost sharing. In this paper we propose an approach to validate the statistical capture of our system. We compare full traffic measurements which contain all the traffic with sampled traffic measurements, in order to know what is the threshold of a sampled traffic to estimate the real traffic with a certain degree of confidence. Results are presented using traffic from a real network environment and comparing our capture platform results with results derived from the real traffic.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35497-2_31
Chapter PDF
Similar content being viewed by others
References
A.M. Odlyzko, “The history of communications and its implications for the Internet”. http://www.research.att.com/—amo/doc/history.communications0.ps. June 2000
J. Aspirdof et al., “OC3MON: Flexible, Affordable, High Performance Statistics Collection”, INET’97, Malasya, June 1997.
C. McCreary and KC Claffy, “Trends in Wide Area IP Traffic Patterns: A View from Ames Internet eXchange”. In Proc. of 13th ITC Specialist Seminar: IP Traffic Measurement, Modeling and Management. Monterey, USA, September 18–20, 2000.
C. Fraleigh, S. Moon, C. Diot, B. Lyles, F. Tobagi. “Architecture of a Passive Monitoring System for Backbone IP Networks”. Sprint technical report TR-00-ATL101801. October. 2000.
M.Alvarez et al., “CASTBA: Internet Traffic Measurements over the Spanish R & D ATM Network”, HP-OVUA Workshop, Rennes (France ), April 1998.
P. Lizcano et al., “MEHARI: A System for Analyzing the Use of the Internet Services”, Computer Networks 31 (1999), pp. 2293–2307.
C Veciana-Nogués, J. Domingo-Pascual and J. Solé-Pareta, “Server Location & Verification Tool for Backbone Access Points” In Proc. of 13th ITC Specialist Seminar: IP Traffic Measurement, Modeling and Management. Monterey, USA, September 1820, 2000.
Nevil Brownlee et al. “Traffic flow measurement: Architecture” RFC 2063, January 1997.
HP75000 BSTS http://advanced.comms.agilent.com/bsts/datasheets/e4200b.htm
http://www.caida.org/tools/measurement/coralreef/
Raj Jain, “The art of computer systems performance analysis: techniques for experimental design, measurement, simulation, and modeling”. Wiley professional Computing, 1991, ISBN 0–417–50336–3
http://www.uunet.com/products/uudirect/uudirect
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 IFIP International Federation for Information Processing
About this chapter
Cite this chapter
Veciana-Nogués, C., Cabellos-Aparicio, A., Domingo-Pascual, J., Solé-Pareta, J. (2002). Verifying IP Meters from Sampled Measurements. In: Schieferdecker, I., König, H., Wolisz, A. (eds) Testing of Communicating Systems XIV. IFIP — The International Federation for Information Processing, vol 82. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35497-2_3
Download citation
DOI: https://doi.org/10.1007/978-0-387-35497-2_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-6705-6
Online ISBN: 978-0-387-35497-2
eBook Packages: Springer Book Archive