A new structure-preserving method of sampling for predicting self-similar traffic

Telecommunication Systems

Volumn 43, Issue 3-4, 2010, Pages 265-277

  Elbiaze, Halima ^a   Zhani, Mohamed Faten ^a   Cherkaoui, Omar ^a   Kamoun, Farouk ^b  

^a UNIVERSITÉ DU QUÉBEC À MONTRÉAL   (Canada)

^b UNIVERSITY OF MANOUBA   (Tunisia)

Author keywords

IP over WDM; Network monitoring; Resource provisioning; Sampling; Self similarity; Traffic analysis and prediction

Indexed keywords

IP OVER WDM NETWORKS; NETWORK MONITORING; RESOURCE PROVISIONING; SELF-SIMILARITIES; TRAFFIC ANALYSIS;

EXPERIMENTS; INTERNET; INTERNET PROTOCOLS; MATHEMATICAL MODELS; SIGNAL RECEIVERS; TELECOMMUNICATION TRAFFIC; WAVELENGTH DIVISION MULTIPLEXING;

FORECASTING;

EID: 77951023756     PISSN: 10184864     EISSN: 15729451     Source Type: Journal    
DOI: 10.1007/s11235-009-9201-x     Document Type: Article

References (29)

1. Abry, P., & Veitch, D. (1998). Wavelet analysis of long range dependent traffic. IEEE Transactions on Information Theory, 44(1), 2-15.
2. Barakat, C., Thiran, P., Iannaccone, G., Diot, C., & Owezarski, P. (2003). Modeling Internet backbone traffic at the flow level. IEEE Transactions on Signal Processing, 51(8).
3. Beran, J., Sherman, R., Taqqu, M. S., & Willinger, W. (1995). Long range-dependence in variable-bit-rate video traffic. IEEE Transactions on Communications, 43(2-4), 1566-1579.
4. Cetinkaya, C., & Knightly, E. (2000). Egress admission control. In Proceedings IEEE INFOCOM.
5. Claffy, K. C., Polyzos, G. C., & Braun, H. W. (2003). Application of sampling methodologies to network traffic characterization. In Proceedings of ACM. SIGCOMM'93.
6. DiMicelli, T. (2004). Optical control planes: time to shake up the network. In FibreSystems Europe in association with LIGHTWAVE Europe (p. 16).
7. Elbiaze, H., Chahed, T., Atmaca, T., & Hébuterne, G. (2003). Shaping self-similar traffic at access of optical network. Performance Evaluation Journal, 53(3-4), 187-208.
8. Floyd, S., Handley,M., Padhye, J., & Widmer, J. (2000). Equationbased congestion control for unicast applications. SIGCOMM Computer Communication Review, 30(4), 43-56.
9. Gao, Y., He, G., & Hou, J. C. (2002). On leveraging traffic predictability in active queue management. In Proceedings IEEE INFOCOM, New York.
10. He, G., & Hou, J. C. (1993). An in-depth analytical study of sampling techniques for self similar Internet traffic. In Proceedings of the 25th IEEE international conference on distributed computing systems.
11. He, G., & Hou, J. C. (2003). On exploiting long range dependency in measuring cross traffic. In Proceedings of IEEE INFOCOM 2003, San Francisco, CA.
12. He, G., Gao, Y., Hou, J. C., & Park, K. (2002). A case for exploiting self-similarity of network traffic in tcp. In ICNP '02: Proceedings of the 10th IEEE international conference on network protocols (pp. 34-45),Washington, DC, USA. IEEE Computer Society.
13. Hohn, N., & Veitch, D. (2006). Inverting sampled traffic. IEEE/ACM Transactions on Networking, 14(1), 68-80. (Pubitemid 43264670)
14. Leland,W. E., & Wilson, D. V. (1991). High time-resolution measurement and analysis of LAN traffic: implications for LAN interconnection. In Proceedings IEEE INFOCOM (pp. 1360-1366).
15. Leland, W., Taqqu, M. S., Willinger, W., & Wilson, D. (1994). On the self-similar nature of Ethernet traffic (extended version). IEEE/ACM Transactions on Networking, 2, 1-15.
16. Mathis, M., Semkeand, J., Mahdavi, J., & Ott, T. (1997). The macroscopic behavior of the TCP congestion avoidance algorithm. Computer Communications Review, 27, 67-82. (Pubitemid 127566065)
17. Papagiannaki, K., Taft, N., Zhang, Z.-L., & Diot, C. (2003). Longterm forecasting of Internet backbone traffic: observations and initial models. In IEEE Infocom, San Francisco.
18. Park, K., Kim, G., & Crovella, M. (1997). On the effect of traffic self-similarity on network performance. In Proceedings SPIE int. conf. performance and control of network systems.
19. Paxson, V., & Floyd, S. (1995). Wide-area traffic: the failure of Poisson modeling. IEEE/ACM Transactions on Networking, 3(3), 226-244.
20. Qiao, Y., Skicewicz, J., & Dinda, P. (2002). Multiscale predictability of network traffic (Technical Report NWU-CS-02-13). Department of Computer Science, Northwestern University.
21. Rabbat, M. G., Coates, M. J., & Nowak, R. D. (2006). Multiplesource Internet tomography. IEEE Journal on Selected Areas in Communications, 24(12), 2221-2234.
22. Rouai, F. A., & Ahmed, M. B. (2001). A new approach for fuzzy neural network weight initialization. In INNS-IEEE international joint conference on neural network (IJCNN), 2.
23. Rubenstein, D., Kurose, J., & Towsley, D. (2000). Detecting shared congestion of flows via end-to-end measurement. In Proceedings of ACM SIGMETRICS.
24. Soule, A., Nucci, A., Cruz, R., Leonardi, E., & Taft, N. (2004). How to identify and estimate the largest traffic matrix elements in a dynamic environment. In SIGMETRICS '04/performance '04: proceedings of the joint international conference on measurement and modeling of computer systems (pp. 73-84), New York, NY, USA. ACM Press.
25. Tellenbach, B., Brauckhoff, D., & May, M. (2008). Impact of traffic mix and packet sampling on anomaly visibility. In The third international conference on internet monitoring and protection, ICIMP (pp. 31-36).
26. Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1986). Numerical recipes in Fortran. Cambridge: Cambridge University Press.
27. Zhang, L., & Zhang, T. (2007). Small packet threshold adaptive sampling for network management. In International conference on mechatronics and automation (pp. 811-815).
28. Zhani, M. F., Elbiaze, H., & Kamoun, F. (2007). SNFAQM: an active queue management mechanism using neurofuzzy prediction. In Proc. of the 12th IEEE symposium on computers and communications (ISCC).
29. Zhani, M. F., Elbiaze, H., & Kamoun, F. (2008). Analysis of prediction performance of training-based models using real network traffic. In Proc. of international symposium on performance evaluation of computer and telecommunication systems (SPECTS).