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THE TITLE OF YOUR PAPER

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. Motivation for packet loss analysis Sources of packet loss in the Internet Packet loss characterization Methodology

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THE TITLE OF YOUR PAPER

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  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. 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 Simulation and analysis: paper title

  3. 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 Simulation and analysis: paper title

  4. Comparison of simulation datawith 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. Simulation and analysis: paper title

  5. Analysis of packet loss on multiple time scales • What is time scale? • Wavelet analysis of packet loss UDP scenario TCP scenario Simulation and analysis: paper title

  6. 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 Simulation and analysis: paper title

  7. 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. Simulation and analysis: paper title

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