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THE TITLE OF YOUR PAPER
Your Name
Communication Networks Laboratory
http://www.ensc.sfu.ca/research/cnl
School of Engineering Science
Simon Fraser University
Roadmap
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Motivation for packet loss analysis
Sources of packet loss in the Internet
Packet loss characterization
Methodology
Simulation scenarios
Simulation results
Conclusions and future work
November 23, 2005
Simulation and analysis: paper title
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ns-2 network simulator
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Collaborative project among Xerox PARC,
LBL, and UCB (http://www.isi.edu/nsnam/ns/)
Discrete event network simulator
Provides support for various:
 network protocols
 topologies
 traffic generators
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Comparison of simulation data
with the Gilbert models
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ulp = 0.15
clp = 0.45
Gilbert model fits the
simulation data for small
loss episodes
Gilbert model
underestimates the
probability of having
longer loss episodes
Simulation run with 100 UDP sources and buffer size of 50 KB (9.2 msec).
The loss from source number 50 is observed.
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Analysis of packet loss
on multiple time scales
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What is time scale?
Wavelet analysis of packet loss
UDP scenario
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TCP scenario
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Conclusions
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UDP transfers:
lengthier packet loss episodes have large contribution,
which indicates that UDP packet loss is highly bursty
contribution of packet loss episodes decreases
approximately geometrically with increase of the length
of packet loss episode
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References
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K. Park and W. Willinger, “Self-similar network traffic: an overview,” in Self-similar Network
Traffic and Performance Evaluation, K. Park and W. Willinger, Eds. New York: Wiley, 2000,
pp. 1–38.
D. Veitch and P. Abry, “A wavelet-based joint estimator of the parameters of long-range
dependence,” IEEE Trans. Information Theory, vol. 45, no. 3, pp. 878–897, Apr. 1999.
V. Jacobson, “Congestion avoidance and control,” in Proc. ACM SIGCOMM '88 Symposium on
Communications Architectures and Protocols, Stanford, CA, USA, Aug. 1988, pp. 314–329.
J. C. Bolot, “End-to-end packet delay and loss behavior in the Internet,” in Proc. ACM
SIGCOMM '93 Conference on Communications Architectures, Protocols and Applications,
San Francisco, CA, USA, Sept. 1993, pp. 289–298.
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M. Yajnik, S. Moon, J. Kurose, and D. Towsley, “Measurement and modeling of the temporal
dependence in packet loss,” in Proc. IEEE INFOCOM, New York, NY, USA, Mar. 1999, pp.
345–352.
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