Internet traffic source based on Hidden Markov Model

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

Volumn 6869 LNCS, Issue , 2011, Pages 395-404

  Domańska, Joanna ^a   Domański, Adam ^b   Czachórski, Tadeusz ^a,b  

^a INSTITUTE OF THEORETICAL AND APPLIED INFORMATICS   (Poland)

^b SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

BELLCORE; HMM MODELS; INTERNET TRAFFIC; SELF-SIMILAR TRAFFIC; TRAFFIC SOURCE MODELS; TRAINING SEQUENCES;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

HIDDEN MARKOV MODELS;

EID: 84865038508     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22875-9_36     Document Type: Conference Paper

References (35)

1. Andersen, A.T., Nielsen, B.F.: A Markovian approach for modeling packet traffic with long-range dependence. IEEE Journal on Selected Areas in Communications 16(5), 719-732 (1998)
2. Willinger, W., Leland, W.E., Taqqu, M.S.: On the self-similar nature of ethernet traffic. IEEE/ACM Transactions on Networking (1994)
3. Klemm, A., Lindemann, C., Lohmann, M.: Modeling IP traffic using the batch Markovian arrival process. Performance Evaluation 54(2), 149-173 (2003)
4. Veitch, D., Abry, P., Flandrin, P., Chainais, P.: Infinitely Divisible Cascade Analysis of Network Traffic Data. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2000), Istanbul, Turkey, Vol. 1 (June 2000)
5. Erramilli, A.: Chaotic maps as models of packet traffic. ITC 14 (June 1994)
6. Baiocchi, A., Melazzi, N.B., Listanti, M., Roveri, A., Winkler, R.: Loss Performance Analysis of an ATM Multiplexer Loaded with High-Speed ON-OFF Sources. IEEE-JSAC 9(3) (April 1991)
7. De Vendictis, A., Baiocchi, A.: Wavelet Based Synthetic Generation of Internet Packet Delays. In: Proceedings of International Teletraffic Conference ITC17, Salvador, Brasil (December 2001)
8. Paxson, V., Floyd, S.: Wide Area Traffic: A Failure of Poisson Modeling. IEEE/ACM Transactions on Networking (June 1995)
9. Crovella, M., Bestavros, A.: Self-similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE/ACM Transactions on Networking (December 1997)
10. Li, S.Q., Hwang, C.L.: Queue response to input correlation functions: continuous spectral analysis. IEEE//ACM Trans. Networking 1(3), 678-692 (1993)
11. Garret, M., Willinger, W.: Analysis, modeling and generation of self-similar VBR video traffic. In: ACM SIGCOMM, London (September 1994)
12. Kleinrock, L.: Queueing Systems, vol. II. Wiley, New York (1976)
13. Mandelbrot, B., Ness, J.V.: Fractional Brownian Motions, Fractional Noises and Applications. SIAM Review 10 (October 1968)
14. Beran, J.: Statistics for Long-Memory Processes. Chapman and Hall, Boca Raton (1994)
15. Cox, D.R.: Long-range dependance: A review. Statistics: An Appraisal (1984)
16. Iannello, G., Palmieri, F., Pescap, A., Salvo Rossi, P.: End-to-end packet-channel Bayesian model applied to heterogeneous wireless networks. In: IEEE GLOBE-COM, pp. 484-489 (November 2005)
17. Dainotti, A., Pescape, A., Salvo Rossi, P., Palmieri, F., Ventre, G.: Internet Traffic Modeling by means of Hidden Markov Models. Computer Networks 52(14), 2645-2662 (2008)
18. Colonnese, S., Rinauro, S., Rossi, L., Scarano, G.: H.264 Video Traffic Modeling via Hidden Markov Process. In: 17th European Signal Processing Conference (EU-SIPCO 2009), Glasgow, Scotland, August 24-28 (2009)
19. Stallings, W.: High-Speed Networks: TCP/IP and ATM Design Principles. Prentice-Hall, Englewood Cliffs (1998)
20. Salamatian, K., Vaton, S.: Hidden Markov Modeling for network communication channels. In: ACM SIGMETRICS 2001, Vol. 29, pp. 92-101 (2001)
21. Salvo Rossi, P., Romano, G., Palmieri, F., Iannello, G.: Joint end-to-end loss-delay Hidden Markov Model for periodic UDP traffic over the Internet. IEEE Transactions on Signal Processing 54(2), 530-541 (2006)
22. Rabiner, L.R.: A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE 77(2) (1989)
23. Bilmes, J.A.: A Gentle Tutorial od the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. University of Berkeley (1998)
24. Norros, I.: On the use of fractional Brownian motion in the theory of connectionless networks. Technical contribution, TD94-33 (September 1994)
25. Linde, Y., Buzo, A., Gray, R.: An Algorithm for Vector Quantizer Design. IEEE Transactions on Communication Com-28 (1980)
26. Romaszewski, M., Glomb, P.: 3D Mesh Approximation Using Vector Quantization. Advances in Soft Computing 57 (2009)
27. Robert, S.: Modélisation Markovienne du Trafic dans Réseaux de Communication. PhD thesis, Ecole Polytechnique Fédérale de Lausanne, Nr 1479 (1996)
28. Robert, S., Boudec, J.Y.L.: New models for pseudo self-similar traffic. Performance Evaluation 30(1-2) (1997)
29. Salvador, P., Valadas, R., Pacheco, A.: Multiscale fitting procedure using markov modulated poisson processes. Telecommunication Systems Journal 23(1-2), 123-148 (2003)
30. The Cooperative Association for Internet Data Analysis, http://www.caida.org
31. Horvath, A., Telek, M.: A Markovian Point Process Exhibiting Multifractal Behavior and its Application to Traffic Modeling. In: Proceedings of Fourth International Conference on Matrix-analytic Methods in Stochastic Models, Adelaide, Australia (July 2002)
32. Wei, W., Wang, B., Towsley, D.: Continuous-time Hidden Markov Models for network performance evaluation. Performance Evaluation 49(1-4), 129-146 (2002)
33. Domańska, J.: Procesy Markowa w modelowaniu natezenia ruchu w sieciach kom-puterowych. PhD thesis, IITiS PAN, Gliwice (2005)
34. Domańska, J., Domański, A., Czachórski, T.: The Drop-From-Front Strategy in AQM. In: Koucheryavy, Y., Harju, J., Sayenko, A. (eds.) NEW2AN 2007. LNCS, Vol. 4712, pp. 61-72. Springer, Heidelberg (2007)
35. Domański, A., Domańska, J., Czachórski, T.: The impact of self-similarity on traffic shaping in wireless LAN. In: Balandin, S., Moltchanov, D., Koucheryavy, Y. (eds.) NEW2AN 2008. LNCS, Vol. 5174, pp. 156-168. Springer, Heidelberg (2008)