Publications related to A Note on the Stochastic Bias of Some Increase-Decrease Congestion Controls: HighSpeed TCP Case Study

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Most of the life cycle cost of a product can be pre-determined by the end of the conceptual design phase, which begins with the establishment of a function structure by decomposing an overall function into a set of sub-functions. However, today's products ...

EPFL2006

A Note on the Stochastic Bias of Some Increase-Decrease Congestion Cont rols: HighSpeed TCP Case Study

Jean-Yves Le Boudec, Milan Vojnovic

We consider increase-decrease congestion controls, a formulation that accommodates many known congestion controls. There have been many works that aim to obtain relation between the loss-event rate

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and time-average window

\taw

for some known parti ...

2003

A Note on the Stochastic Bias of Some Increase-Decrease Congestion Controls: HighSpeed TCP Case Study

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Bringing Stability to Wireless Mesh Networks

Mitigating network congestion

Combined mass and energy integration in process design at the example of membrane-based gas separation systems

Yard traffic and congestion in container terminals

Describing network congestion and blocking with an analytic queueing network model

Describing network congestion and blocking with an analytic queueing network model

Network Loss Inference with Second Order Statistics of End-to-End Flows

Self-Limiting Epidemic Forwarding

Development of a collaborative conceptual desing support system

A Note on the Stochastic Bias of Some Increase-Decrease Congestion Cont rols: HighSpeed TCP Case Study

Self-Limiting Epidemic Forwarding

Bringing Stability to Wireless Mesh Networks

Network Loss Inference with Second Order Statistics of End-to-End Flows

Combined mass and energy integration in process design at the example of membrane-based gas separation systems

Mitigating network congestion

A Note on the Stochastic Bias of Some Increase-Decrease Congestion Cont rols: HighSpeed TCP Case Study

Yard traffic and congestion in container terminals

Describing network congestion and blocking with an analytic queueing network model

Describing network congestion and blocking with an analytic queueing network model

Development of a collaborative conceptual desing support system