Kiss to abacus: A comparison of P2P-TV traffic classifiers

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

Volumn 6003 LNCS, Issue , 2010, Pages 115-126

  Finamore, Alessandro ^a   Meo, Michela ^a   Rossi, Dario ^b   Valenti, Silvio ^b  

^a POLITECNICO DI TORINO   (Italy)

^b TELECOM PARISTECH   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; COMPUTATIONAL COSTS; NETWORK CONDITION; NETWORK TRAFFIC CLASSIFICATION; RESEARCH COMMUNITIES; TRAFFIC CLASSIFIERS;

CLASSIFIERS; MATHEMATICAL INSTRUMENTS; THERMOANALYSIS;

TELECOMMUNICATION TRAFFIC;

EID: 77952053458     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12365-8_9     Document Type: Conference Paper

References (19)

1. Moore, A.W., Papagiannaki, K.: Toward the Accurate Identification of Network Applications. In: Dovrolis, C. (ed.) PAM 2005. LNCS, vol. 3431, pp. 41-54. Springer, Heidelberg (2005)
2. Karagiannis, T., Broido, A., Brownlee, N., Claffy, K., Faloutsos, M.: Is p2p dying or just hiding? In: IEEE GLOBECOM 2004., Dallas, Texas, US (2004)
3. Finamore, A., Mellia, M., Meo, M., Rossi, D.: KISS: Stocastic Packet Inspection. In: Traffic Measurement and Analysis (TMA) Workshop at IFIP Networking 2009, Aachen, Germany (May 2009)
4. Cascarano, N., Risso, F., Este, A., Gringoli, F., Salgarelli, L., Finamore, A., Mellia, M.: Comparing p2ptv traffic classifiers submitted to IEEE ICC 2010 (2010)
5. Valenti, S., Rossi, D., Meo, M., Mellia, M., Bermolen, P.: Accurate, Fine-Grained Classifi- cation of P2P-TV Applications by Simply Counting Packets. In: Traffic Measurement and Analysis (TMA) Workshop at IFIP Networking 2009, Aachen, Germany (May 2009)
6. Bernaille, L., Teixeira, R., Salamatian, K.: Early application identification. In: Proc. of ACM CoNEXT 2006, Lisboa, PT (December 2006)
7. Williams, N., Zander, S., Armitage, G.: A prelimanery performance comparison of five machine learning algorithms for practical ip traffic flow comparison. ACM SIGCOMM Comp. Comm. Rev. 36(5), 7-15 (2006)
8. Erman, J., Arlitt, M., Mahanti, A.: Traffic classification using clustering algorithms. In: MineNet 2006: Mining network data (MineNet) Workshop at ACM SIGCOMM 2006, Pisa, Italy (2006)
9. Karagiannis, T., Papagiannaki, K., Faloutsos,M.: Blinc: multilevel traffic classification in the dark. SIGCOMM Comput. Commun. Rev. 35(4), 229-240 (2005)
10. Iliofotou, M., Kim, H., Pappu, P., Faloutsos, M., Mitzenmacher, M., Varghese, G.: Graphbased p2p traffic classification at the internet backbone. In: 12th IEEE Global Internet Symposium (GI 2009), Rio de Janeiro, Brazil (April 2009)
11. Salgarelli, L., Gringoli, F., Karagiannis, T.: Comparing traffic classifiers. ACM SIGCOMM Comp. Comm. Rev. 37(3), 65-68 (2007)
12. Nguyen, T.T.T., Armitage, G.: A survey of techniques for internet traffic classification using machine learning. IEEE Communications Surveys & Tutorials 10(4), 56-76 (2008)
13. Kim, H., Claffy, K., Fomenkov, M., Barman, D., Faloutsos, M., Lee, K.: Internet traffic classification demystified: myths, caveats, and the best practices. In: Proc. of ACM CoNEXT 2008, Madrid, Spain (2008)
14. Li,W., Canini,M., Moore, A.W., Bolla, R.: Efficient application identification and the temporal and spatial stability of classification schema. Computer Networks 53(6), 790-809 (2009)
15. Hei, X., Liang, C., Liang, J., Liu, Y., Ross, K.W.: A Measurement Study of a Large-Scale P2P IPTV System. IEEE Transactions on Multimedia (December 2007) (Pubitemid 350157906)
16. Li, B., Qu, Y., Keung, Y., Xie, S., Lin, C., Liu, J., Zhang, X.: Inside the New Coolstreaming: Principles, Measurements and Performance Implications. In: IEEE INFOCOM 2008, Phoenix, AZ (April 2008)
17. Cristianini, N., Shawe-Taylor, J.: An introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, New York (1999)
18. Napa-Wine, http://www.napa-wine.eu/
19. Risso, F., Cascarano, N.: Diffinder, http://netgroup.polito.it/research- projects/l7-traffic-classification