[en] Based on a large set of TCP sessions we first study the accuracy of two well-known analytical models (SQRT and PFTK) of the TCP average rate. This study shows that these models are far from being accurate on average. Actually, our simulations show that 70% of their predictions exceed the boundaries of TCP-Friendliness, thus questioning their use in the design of new TCP-Friendly transport protocols. Our study also shows that the inaccuracy of the PFTK model is largely due to its inability to make the distinction between the two packet loss detection methods used by TCP: triple duplicate acknowledgments or timeout expirations. We then use supervised learning techniques to infer models of the TCP rate. These models show important accuracy improvements when they take into account the two types of losses. This suggests that analytical model of TCP throughput should certainly benefit from the incorporation of the timeout loss rate.
Disciplines :
Computer science
Author, co-author :
El Khayat, Ibtissam; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques
Geurts, Pierre ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Leduc, Guy ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques
Language :
English
Title :
On the accuracy of analytical models of TCP throughput
Publication date :
May 2006
Event name :
IFIP Networking 2006
Event place :
Coimbra, Portugal
Event date :
15-19 May 2006
Audience :
International
Journal title :
Lecture Notes in Computer Science
ISSN :
0302-9743
eISSN :
1611-3349
Publisher :
Springer-Verlag, Berlin, Germany
Special issue title :
Networking 2006: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
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Bibliography
E. Altman, K. Avrachenkov, and C. Barakat. A Stochastic Model of TCP/IP with Stationary Random Losses. IEEE/ACM Transactions on Networking, 13(2):356-369, April 2005.
F. Baccelli and D. Hong. AIMD, Fairness and fractal scaling of TCP Traffic,. In IEEE INFOCOM 2002, volume 21, pages 229 - 238, June 2002.
C. Barakat. TCP/IP modeling and validation. IEEE Network, 15(3):38-47, 2001.
I. El Khayat, P. Geurts, and G. Leduc. Analysis and improvement of analytical models of TCP throughput by machine learning techniques. Technical report, University of Liège, 2005.
I. El Khayat, P. Geurts, and G. Leduc. Improving TCP in wireless networks with an adaptive machine-learnt classifier of packet loss causes. In Proc. of the International Conference on Networking, pages 549-560. Springer-Verlag, 2005.
S. Floyd and K. Fall. Promoting the use of end-to-end congestion control in the internet. IEEE/ACM Trans. Netw., 7(4):458-472, 1999.
S. Floyd, M. Handley, J. Padhye, and Jorg Widmer. Equation-based congestion control for unicast applications. In SIGCOMM 2000, pages 43-56, Stockholm, Sweden, August 2000.
C. Fraleigh, S. Moon, B. Lyles, C. Cotton, M. Khan, D. Moll, R. Rockell, T. Seely, and S.C. Diot. Packet-level traffic measurements from the sprint ip backbone. Network, IEEE, 17(6):6-16, Nov.-Dec. 2003.
M. Garetto, R.L. Cigno, M. Meo, and M. A. Marsan. Closed queueing network models of interacting long-lived TCP flows. IEEE/ACM Trans. Netw., 12(2):300-311, 2004.
A. Kumar. Comparative performance analysis of versions of TCP in a local network with a lossy link. IEEE/ACM Trans. Netw., 6(4):485-498, 1998.
M. Mathis, J. Semke, Mahdavi, and T. Ott. The macroscopic behavior of the TCP congestion avoidance algorithm. ACM Computer Communication Review, 27(3):67-82, July 1997.
A. Misra and T. J. Ott. The window distribution of idealized TCP congestion avoidance with variable packet loss. In INFOCOM (3), pages 1564-1572, 1999.
Vishal Misra, Wei-Bo Gong, and Donald F. Towsley. Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED. In SIGCOMM, pages 151-160, 2000.
J. Padhye, V. Firoiu, D. Towsley, and J. Krusoe. Modeling TCP Throughput: A Simple Model and its Empirical Validation. Proceedings of the ACM SIGCOMM '98, pages 303-314, 1998.
B. Sikdar, S. Kalyanaraman, and K. S. Vastola. Analytic models for the latency and steady-state throughput of tcp tahoe, reno, and sack. IEEE/ACM Trans. Netw., 11(6):959-971, 2003.
D Sisalem and A Wolisz. MLDA: A TCP-friendly congestion control framework for heterogenous multicast environments. In Eighth International Workshop on Quality of Service (IWQoS 2000), Pittsburgh, June 2000.
J. Widmer, R. Denda, and M. Mauve. A Survey on TCP-Friendly Congestion Control. IEEE Network, 15(3):28-37, 2001.
J. Widmer and M. Handley. Extending equation-based congestion control to multicast applications. In Proceedings of SIGCOMM'01, pages 275-285. ACM Press, 2001.
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