Integrating streaming and file-transfer Internet traffic: fluid and diffusion approximations

Authors:
Sunil Kumar;Laurent Massoulié
Affiliations:
Graduate School of Business, Stanford University, Stanford, USA 94305;Thomson Corporate Research, Paris, France 92648 Cedex
Venue:
Queueing Systems: Theory and Applications
Year:
2007

Citing 2
Cited 4

Polling Systems in Heavy Traffic: a Bessel Process Limit

Mathematics of Operations Research
Strong approximations for Markovian service networks

Queueing Systems: Theory and Applications

MeanField analysis for the evaluation of gossip protocols

ACM SIGMETRICS Performance Evaluation Review
Mean-field framework for performance evaluation of push-pull gossip protocols

Performance Evaluation
Flow-level models for multipath routing

Performance Evaluation
Bounds on the deviation of discrete-time Markov chains from their mean-field model

Performance Evaluation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We study the behavior of a communication link that divides its capacity fairly among file transfers and streaming flows. We identify appropriate asymptotic regimes and obtain fluid and diffusion limits. The non-trivial, yet tractable, limits can be used for performance analysis and policy design. Furthermore, the scalings used to obtain these limits are themselves of interest and help explain phenomena observed in previous simulation studies.