Krister Jacobsson

TL;DR: A link model which captures the queue dynamics when congestion windows of TCP sources change is presented, which is a generalization of existing models and is shown to be more accurate by both open loop and closed loop packet level simulations.

TL;DR: A link model which captures the queue dynamics in response to a change in a transmission control protocol (TCP) source's congestion window is presented by considering both self-clocking and the link integrator effect and is shown to be more accurate by both open loop and closed loop packet level simulations.

TL;DR: A new model is developed that describes the queueing process of a communication network when data sources use window flow control and it is demonstrated that spatial interaction of oscillations allows queue instability to occur even when all flows have the same RTTs and maintain constant windows.

TL;DR: This paper analytically captures notable effects of microscopic behavior on macroscopic quantities in window flow control and calculates the loss synchronization rate for different flows and uses it to quantitatively explain the unfair bandwidth sharing between paced and unpaced TCP flows.

TL;DR: In this article, the authors derived network fluid flow models suitable for analysis and synthesis of window based congestion control protocols such as TCP and showed that the model accurately predicts dynamical behavior in terms of system stability, previously unknown oscillatory behavior and even fast phenomenon such as traffic burstiness patterns.