| Title: |
Self-generated Self-similar Traffic |
| Authors: |
Haga, P.; Pollner, P.; Simon, G.; Csabai, I.; Vattay, G. |
| Source: |
Nonlinear Phenomena in Complex Systems Vol.6, No.4 2003 |
| Publication Year: |
2004 |
| Collection: |
Computer Science; Nonlinear Sciences; Condensed Matter; Physics (Other) |
| Subject Terms: |
Physics - Data Analysis, Statistics and Probability; Condensed Matter - Other Condensed Matter; Computer Science - Networking and Internet Architecture; Nonlinear Sciences - Adaptation and Self-Organizing Systems |
| Description: |
Self-similarity in the network traffic has been studied from several aspects: both at the user side and at the network side there are many sources of the long range dependence. Recently some dynamical origins are also identified: the TCP adaptive congestion avoidance algorithm itself can produce chaotic and long range dependent throughput behavior, if the loss rate is very high. In this paper we show that there is a close connection between the static and dynamic origins of self-similarity: parallel TCPs can generate the self-similarity themselves, they can introduce heavily fluctuations into the background traffic and produce high effective loss rate causing a long range dependent TCP flow, however, the dropped packet ratio is low.; Comment: 8 pages, 12 Postscript figures, accepted in Nonlinear Phenomena in Complex Systems |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/physics/0402078 |
| Accession Number: |
edsarx.physics/0402078 |
| Database: |
arXiv |