On the accuracy of analytical models of TCP throughput

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3976 LNCS, Issue , 2006, Pages 488-500

  El Khayat, Ibtissam ^a   Geurts, Pierre ^a   Leduc, Guy ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; THROUGHPUT; SUPERVISED LEARNING; TELECOMMUNICATION NETWORKS; TRANSMISSION CONTROL PROTOCOL;

FRIENDLY TRANSPORT PROTOCOLS; PFTK MODEL; TIMEOUT LOSS RATES; ACCURACY IMPROVEMENT; AVERAGE RATE; LOSS DETECTION; TCP FRIENDLINESS; TCP THROUGHPUT; TCP-FRIENDLY; TCP-SESSIONS; TRANSPORT PROTOCOLS;

NETWORK PROTOCOLS; ANALYTICAL MODELS;

EID: 33745912493     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11753810_41     Document Type: Conference Paper

References (18)

1. 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.
2. F. Baccelli and D. Hong. AIMD, Fairness and fractal scaling of TCP Traffic,. In IEEE INFOCOM 2002, volume 21, pages 229 - 238, June 2002.
3. C. Barakat. TCP/IP modeling and validation. IEEE Network, 15(3):38-47, 2001.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. J. Widmer, R. Denda, and M. Mauve. A Survey on TCP-Friendly Congestion Control. IEEE Network, 15(3):28-37, 2001.
18. J. Widmer and M. Handley. Extending equation-based congestion control to multicast applications. In Proceedings of SIGCOMM'01, pages 275-285. ACM Press, 2001.