In this paper we study communication networks that employ drop-tail queueing and Additive-Increase Multiplicative- Decrease (AIMD) congestion control algorithms. A basic assumption in the study of such networks is that the underlying stochastic process is ergodic. In this paper we present a proof of ergodicity for such networks under very general assumptions
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We consider a linear algebraic model of the Additive-Increase Multiplicative-Decrease congestion con...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
The additive increase multiplicative decrease (AIMD) algorithm, that is commonly used for congestion...
Abstract. In this paper we develop tools to analyse a recently proposed random matrix model of commu...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We consider a linear algebraic model of the Additive-Increase Multiplicative-Decrease congestion con...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
In this paper we study communication networks that employ drop-tail queueing and Additive-Increase M...
The additive increase multiplicative decrease (AIMD) algorithm, that is commonly used for congestion...
Abstract. In this paper we develop tools to analyse a recently proposed random matrix model of commu...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
Abstract—We study communication networks that employ drop-tail queueing and Additive-Increase Multi...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We present a simplied model of a network of TCP-like sources that compete for a shared bandwidth. We...
We consider a linear algebraic model of the Additive-Increase Multiplicative-Decrease congestion con...
In this paper we present new results on the dynamics of networks of AIMD flows. The results reveal a...