We examine the behavior of the Additive-Increase Multiplicative-Decrease (AIMD) congestion control algorithm. We present a variant of a recently proposed matrix model that allows us to obtain previous results for competition via a single bottleneck link. We then extend these results to the case of multiple bottleneck links paying particular attention to some aspects of fairness and convergence properties for multiple bottleneck systems. We examine both the synchronous (deterministic) and asynchronous (stochastic) cases. A simple simulation example illustrates the results
Problem statement: As the Internet becomes increasingly heterogeneous, the issue of congestion contr...
We consider two elementary (max-flow and uniform-flow) and two realistic (max-min fairness and propo...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...
We examine the behavior of the Additive-Increase Multiplicative-Decrease (AIMD) congestion control a...
We consider a linear algebraic model of the Additive-Increase Multiplicative-Decrease congestion con...
We examine the behavior of the additive-increase multiplicative-decrease (AIMD) congestion control a...
for Shared Bottleneck Fairness Multi-homed hosts are becoming common and they have multiple paths be...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We study the interaction between the AIMD (Additive Increase Multiplicative Decrease) multi-socket c...
The multiplicative increase multiplicative decrease (MIMD) congestion control algorithm in the form ...
We study in this paper the fairness in throughput among two sessions that share a common bottleneck ...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
AbstractThis paper studies the performance of AIMD (Additive Increase Multiplicative Decrease) TCP a...
Additive Increase Multiplicative Decrease (AIMD) is a widely used congestion control algorithm that ...
Problem statement: As the Internet becomes increasingly heterogeneous, the issue of congestion contr...
We consider two elementary (max-flow and uniform-flow) and two realistic (max-min fairness and propo...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...
We examine the behavior of the Additive-Increase Multiplicative-Decrease (AIMD) congestion control a...
We consider a linear algebraic model of the Additive-Increase Multiplicative-Decrease congestion con...
We examine the behavior of the additive-increase multiplicative-decrease (AIMD) congestion control a...
for Shared Bottleneck Fairness Multi-homed hosts are becoming common and they have multiple paths be...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We study the interaction between the AIMD (Additive Increase Multiplicative Decrease) multi-socket c...
The multiplicative increase multiplicative decrease (MIMD) congestion control algorithm in the form ...
We study in this paper the fairness in throughput among two sessions that share a common bottleneck ...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
AbstractThis paper studies the performance of AIMD (Additive Increase Multiplicative Decrease) TCP a...
Additive Increase Multiplicative Decrease (AIMD) is a widely used congestion control algorithm that ...
Problem statement: As the Internet becomes increasingly heterogeneous, the issue of congestion contr...
We consider two elementary (max-flow and uniform-flow) and two realistic (max-min fairness and propo...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...