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THE TITLE OF YOUR PAPER Your Name Communication Networks Laboratory School of Engineering Science Simon Fraser University.

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Presentation on theme: "THE TITLE OF YOUR PAPER Your Name Communication Networks Laboratory School of Engineering Science Simon Fraser University."— Presentation transcript:

1 THE TITLE OF YOUR PAPER Your Name Communication Networks Laboratory http://www.ensc.sfu.ca/research/cnl School of Engineering Science Simon Fraser University

2 November 23, 2005Simulation and analysis: paper title2 Roadmap Motivation for packet loss analysis Sources of packet loss in the Internet Packet loss characterization Methodology Simulation scenarios Simulation results Conclusions and future work

3 November 23, 2005Simulation and analysis: paper title3 ns-2 network simulator 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

4 November 23, 2005Simulation and analysis: paper title4 Comparison of simulation data with the Gilbert models 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.

5 November 23, 2005Simulation and analysis: paper title5 Analysis of packet loss on multiple time scales What is time scale? Wavelet analysis of packet loss UDP scenarioTCP scenario

6 November 23, 2005Simulation and analysis: paper title6 Conclusions 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

7 November 23, 2005Simulation and analysis: paper title7 References 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. 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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