Integration of Streaming and Elastic Traffic: A Fixed Point Approach

Abstract

We present a fixed point approach to evaluate the quality of service of streaming traffic multiplexed with elastic traffic in multi-service networks. First, we handle elastic traffic and streaming traffic separately, and then we derive a general fixed point formulation integrating both types of traffic in best effort networks. Then, we extend the application of this formulation to multi-service networks where priorities and bandwidth sharing schemes can be applied to different flows. Our approach is mainly oriented towards very large scale networks where traditional simulation techniques are not scalable, and where a large number of flows have to be evaluated in reasonable time. We assess the accuracy of our approach by means of event-driven simulations.

Modeling the interactions of congestion control and switch scheduling

“…the existence of a single passive queue shared by all the flows destined to a switchoutput bottleneck link. For instance, these models have dealt with flow rate equilibria [1]- [3], router buffer sizing [12], [14], [16], [17], TCP dynamics [13], [18], TCP fairness [2], [3], [23], Weighted Fair Queueing (WFQ) [19], and Active Queue Management (AQM) analysis [20], [21]. Unfortunately, outputqueued switching cannot be implemented in high-speed routers because of its required memory speedup [22].…”

Practical Performance Evaluation of Ethernet Networks with Flow-Level Network Modeling

“…Altman et al proposed various mathematical formalisms and proofs to flow-level models in [5], by building on the results of [10]. The models previously cited were extended by Hassan et al in [18] to include scheduling algorithms, namely priority queuing and weighted fair queuing.…”