Investigation on the IP flow inter-arrival time in large-scale network

2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Volumn , Issue , 2007, Pages 1925-1928

  Wu, Hua ^a   Zhou, Mingzhong ^a   Gong, Jian ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Autocorrelation; Flow length; Inter arrival time distribution model; IP flows; Large scale networks

Indexed keywords

FLOW LENGTH; INTER-ARRIVAL TIME DISTRIBUTION MODELS; IP FLOWS; LARGE-SCALE NETWORKS;

AUTOCORRELATION; LARGE SCALE SYSTEMS; PARAMETER ESTIMATION; TELECOMMUNICATION NETWORKS;

INTERNET PROTOCOLS;

EID: 38049048022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WICOM.2007.482     Document Type: Conference Paper

References (7)

1. Kortebi A, Musoariello L, Oueslati S, and Roberts J. Evaluating the number of Active Flows in a schedular realizing fair statistical bandwidth sharing. In Proceedings of the 2005 ACM SIGMETRICS. Canada:ACM Press. 217-228.
2. Feldmann A. characteristics of TCP connection . In: SelfSimilar Network Traffic and Performance Evaluation, K. Park,W. Willinger, eds. Wiley-Interscience Publication, New York, 2000.1-13.
3. Nuzman C, Saniee I, Sweldens W, and Weiss A, A compound model for TCP connection for LAN and WAN applications [J]. Computer Networks,2002; 40: 319-337.
4. Rossi D, Muscariello L, Mellia M. Analyzing, http://www.tlc-networks. polito.it/ muscariello/papers/279TD-04-013.pdf.,2005-1/2006-4.
5. Barakat C, Thiran P, Iannaccone G.Diot C, and Owezarski P. Modeling Internet backbone traffic at the flow level[J]. In IEEE TRANSACTIONS ON SIGNAL PROCESSING. 51(8).1-12.
6. http://pma.nlanr.net/
7. Mark E. Crovella and Murad S. Taqqu, "Estimating the heavy tail index from scaling properties", Methodology and computing in applied probability, vol. 1, no. 1, pp.55-79, 1999