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Presentation transcript:

Title of Your Paper Names of Co-Authors Communication Networks Laboratory http://www.ensc.sfu.ca/~ljilja/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 Simulation scenarios Simulation results Conclusions and future work May 16, 2016 CCECE 2016

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 May 16, 2016 CCECE 2016

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. May 16, 2016 CCECE 2016

Analysis of packet loss on multiple time scales What is time scale? Wavelet analysis of packet loss My results and the collected packet loss sets have been used to perform further analysis of packet loss on multiple time scales UDP scenario TCP scenario May 16, 2016 CCECE 2016

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 May 16, 2016 CCECE 2016

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. May 16, 2016 CCECE 2016