Statistical Bandwidth Sharing: A Study of Congestion at Flow Level. Fredj, S. B., Bonald, T., Proutiere, A., Regnie, G., & Roberts, J. W. *Computer Communication Review*, 31(4):111--122, October, 2001.

Paper bibtex

Paper bibtex

@article{ Fredj01, author = {S. B. Fredj and T. Bonald and A. Proutiere and G. Regnie and J. W. Roberts}, title = {Statistical Bandwidth Sharing: A Study of Congestion at Flow Level}, journal = {Computer Communication Review}, year = {2001}, volume = {31}, number = {4}, pages = {111--122}, month = {October}, annote = {This paper demonstrates that the conclusions that are drawn from simple fluid flow models are in most cases also applicable to real-world examples. The objective of this paper is to form the basis for deriving provisioning rules and traffic control algorithms. Using results from the theory of stachastic networks, it is shown that first order performance metrics like mean throughput are insensitive to flow size and flow arrival distribution as long as sessions are Poisson distributed. Furthermore, it is shown that stochastic networks are unstable when the demand exceeds the link capacity, however become stable when user impatience and reattempts are accounted for.}, url = {papers/fredj01.pdf}, bibdate = {Wednesday, June 05, 2002 at 13:33:17 (CEST)}, submitter = {Karl-Johan Grinnemo} }

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