Mouse trapping: A flow data reduction method

Proceedings - The 3rd International Conference on Internet Monitoring and Protection, ICIMP 2008

Volumn , Issue , 2008, Pages 17-22

  Anderson, Sven ^a   Hogrefe, Dieter ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ELECTRIC BREAKDOWN; FLOW SIMULATION; INTERNET; MANAGEMENT INFORMATION SYSTEMS; SCALABILITY; STATISTICS; TRAFFIC SURVEYS;

FLOW BASED; FLOW DATA; HEAVY TAILS; INTERNATIONAL CONFERENCES; INTERNET MONITORING; INTERNET TRAFFIC; NORMAL FLOWS; POWER-LAW CHARACTERISTICS; POWER-LAW DISTRIBUTED; REAL TRAFFIC; REDUCTION METHODS; TRAFFIC FLOWING; TRAFFIC MEASUREMENT;

DATA REDUCTION;

EID: 51849089705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIMP.2008.23     Document Type: Conference Paper

References (15)

1. pmacct. http://pmacct.net.
2. SerNetGmbH, http://www.SerNet.DE.
3. L. Adamic and B. A. Hubennan. The nature of markets in the world wide web. Published online, 1999. http://ssrn.com/paper=166108.
4. L. A. Adamic. Zipf, power-law, pareto - a ranking tutorial. Published online, 2000. http://www.hpl.hp.com/research/idl/papers/ranking/.
5. W. Aiello, A. Gilbert, B. Rexroad, and V. Sekar. Sparse approximations for high fidelity compression of network traffic data. In Proceedings of IMC, pages 253-266. USENIX Association, 2005.
6. B.Claise. Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of IP Traffic Flow Information. RFC 5101 (Proposed Standard), Jan. 2008.
7. M. E. Crovella and A. Bestavros. Self-similarity in world wide web traffic: evidence and possible causes. IEEE/ACM Trans. Netw., 5(6):835-846, 1997.
8. N. Duffield, C. Lund, and M. Thorup. Charging from sampled network usage. In Proceedings of SIGCOMM Internet Measurement Workshop, November 2001.
9. C. Estan and G. Varghese. New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice. ACM Trans. Comput. Syst., 21(3):270-313, 2003.
10. M. Faloutsos, P. Faloutsos, and C. Faloutsos. On power-law relationships of the internet topology. In Proceedings of SIGCOMM, pages 251-262, New York, NY, USA, 1999. ACM Press.
11. W. Fang and L. Peterson. Inter-as traffic patterns and their implications. In Proceedings of IEEE GLOBECOM, volume 3, pages 1859-1868, 1999.
12. A. Feldmann, A. Greenberg, C. Lund, N. Reingold, J. Rexford, and F. True. Deriving traffic demands for operational ip networks: methodology and experience. IEEE/ACM Trans. Netw., 9(3):265-280, 2001.
13. A. Kumar, M. Sung, J. J. Xu, and E. W. Zegura. A data streaming algorithm for estimating subpopulation flow size distribution. In Proceedings of ACM SIGMETRICS, pages 61-72, New York, NY, USA, 2005. ACM Press.
14. W. E. Leland, W. Willinger, M. S. Taqqu, and D. V. Wilson. On the self-similar nature of ethernet traffic. SIGCOMM Comput. Commun. Rev., 25(1):202-213, 1995.
15. D. Liu and F. Huebner. Application profiling of ip traffic. In Proceedings of IEEE LCN, page 0220, Washington, DC, USA, 2002. IEEE Computer Society.