Abstract
LiTGen is an easy to use and tune open-loop traffic generator that statistically models wireless traffic on a per user and application basis. We first show how to calibrate the underlying hierarchical model, from packet level capture originating in an ISP wireless network. Using wavelet and semi-experiments analysis, we then prove LiTGen’s ability to reproduce accurately the captured traffic burstiness and internal properties over a wide range of timescales. In addition the flexibility of LiTGen enables us to investigate the sensitivity of the traffic structure with respect to the possible distributions of the random variables involved in the model. Finally this study helps understanding the traffic scaling behaviors and their corresponding internal structure.
This study would not have been conducted without the support of Sprint Labs. The authors would like to thank Sprint Labs for giving access to the wireless traffic traces and particularly Ashwin Sridharan for his support.
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References
Mah, B.A.: An empirical model of http network traffic. In: IEEE Infocom, April 1997, IEEE Computer Society Press, Los Alamitos (1997)
Barford, P., Crovella, M.: Generating representative web workloads for network and server performance evaluation. In: ACM Sigmetrics, June 1998, ACM Press, New York (1998)
Sommers, J., Barford, P.: Self-configuring network traffic generation. In: ACM IMC, October 2004, ACM Press, New York (2004)
Vishwanath, K.V., Vahdat, A.: Realistic and responsive network traffic generation. In: ACM Sigcomm, September 2006, ACM Press, New York (2006)
Crovella, M., Bestavros, A.: Self-similarity in world wide web traffic: Evidence and possible causes. In: ACM Sigmetrics, May 1996, ACM Press, New York (1996)
Willinger, W., Taqqu, M.S., Sherman, R., Wilson, D.V.: Self-Similarity throught high-variability: Statistical analysis of ethernet LAN traffic at the source level. In: ACM Sigcomm, August 1995, ACM Press, New York (1995)
Misra, V., Gong, W-B.: A hierarchical model for teletraffic. In: IEEE CDC, December 1998, IEEE Computer Society Press, Los Alamitos (1998)
Rolland, C., Ridoux, J., Baynat, B.: Hierarchical models for different kinds of traffics on CDMA-1xRTT networks. Technical report, UPMC - Paris VI, LIP6/CNRS (2006), http://www-rp.lip6.fr/~rolland/techreport.pdf
Ridoux, J., Nucci, A., Veitch, D.: Seeing the difference in IP traffic: Wireless versus wireline. In: IEEE Infocom, April 2006, IEEE Computer Society Press, Los Alamitos (2006)
Donelson-Smith, F., Hernandez-Campos, F., Jeffay, K., Ott, D.: What TCP/IP protocol headers can tell us about the web. In: ACM Sigmetrics, June 2001, ACM Press, New York (2001)
Veitch, D. and Abry, P.: Matlab code for the wavelet based analysis of scaling processes. http://www.cubinlab.ee.mu.oz.au/~darryl/
Abry, P., Taqqu, M.S., Flandrin, P., Veitch, D.: Wavelets for the analysis, estimation, and synthesis of scaling data. In: Self-Similar Network Traffic and Performance Evaluation, Wiley, Chichester (2000)
Hohn, N., Veitch, D., Abry, P.: Does fractal scaling at the IP level depend on TCP flow arrival process? In: ACM IMC, November 2002, ACM Press, New York (2002)
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Rolland, C., Ridoux, J., Baynat, B. (2007). LiTGen, a Lightweight Traffic Generator: Application to P2P and Mail Wireless Traffic. In: Uhlig, S., Papagiannaki, K., Bonaventure, O. (eds) Passive and Active Network Measurement. PAM 2007. Lecture Notes in Computer Science, vol 4427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71617-4_6
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DOI: https://doi.org/10.1007/978-3-540-71617-4_6
Publisher Name: Springer, Berlin, Heidelberg
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