Evaluating and Modeling Window Synchronization in Highly Multiplexed Flows
In this paper, the authors investigate issues of synchronization in highly aggregated flows such as would be found in the Internet backbone. Understanding this phenomenon is important since it leads to reduced network utilization. The hypothesis is that regularly spaced loss events lead to window synchronization in long lived flows. They argue that window synchronization is likely to be more common in the Internet than previously reported. They support the argument with evidence of the existence and evaluation of the characteristics of periodic discrete congestion events using active probe data gathered in the Surveyor infrastructure. When connections experience loss events which are periodic, the aggregate offered load to neighboring links rises and falls in cadence with the loss events.