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On the Flow-level Dynamics of a Packet-switched Network

机译:分组交换网络的流量级动态

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摘要

The packet is the fundamental unit of transportation in modern communication networks such as the Internet. Physical layer scheduling decisions are made at the level of packets, and packet-level models with exogenous arrival processes have long been employed to study network performance, as well as design scheduling policies that more efficiently utilize network resources. On the other hand, a user of the network is more concerned with end-to-end bandwidth, which is allocated through congestion control policies such as TCP. Utility-based flow-level models have played an important role in understanding congestion control protocols. In summary, these two classes of models have provided separate insights for flow-level and packet-level dynamics of a network. In this paper, we wish to study these two dynamics together. We propose a joint flow-level and packet-level stochastic model for the dynamics of a network, and an associated policy for congestion control and packet scheduling that is based on a-weighted policies from the literature. We provide a fluid analysis for the model that establishes the throughput optimality of the proposed policy, thus validating prior insights based on separate packet-level and flow-level models. By analyzing a critically scaled fluid model under the proposed policy, we provide constant factor performance bounds on the delay performance and characterize the invariant states of the system.
机译:数据包是现代通信网络(如Internet)中传输的基本单位。物理层调度决策是在数据包级别做出的,长期以来一直采用具有外来到达过程的数据包级别模型来研究网络性能,以及设计可更有效地利用网络资源的调度策略。另一方面,网络用户更关心端到端带宽,该带宽是通过诸如TCP的拥塞控制策略分配的。基于实用程序的流级别模型在理解拥塞控制协议方面发挥了重要作用。总而言之,这两类模型为网络的流级和数据包级动态提供了单独的见解。在本文中,我们希望一起研究这两种动力学。我们提出了一种用于网络动态的联合流级和分组级随机模型,以及基于文献中的a加权策略的用于拥塞控制和分组调度的相关策略。我们为该模型提供了一种流体分析,该模型确定了所提出策略的吞吐量最优性,从而基于单独的数据包级别和流量级别模型验证了先前的见解。通过分析所提出策略下的临界尺度流体模型,我们为延迟性能提供了恒定因子性能范围,并刻画了系统的不变状态。

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