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On the flow-level stability of data networks without congestion control: the case of linear networks and upstream trees

机译:无拥塞控制的数据网络的流量级稳定性:线性网络和上游树的情况

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In this paper, flow models of networks without congestion control are considered. Users generate data transfers according to some Poisson processes and transmit corresponding packet at a fixed rate equal to their access rate until the entire document is received at the destination; some erasure codes are used to make the transmission robust to packet losses. We study the stability of the stochastic process representing the number of active flows in two particular cases: linear networks and upstream trees. For the case of linear networks, we notably use fluid limits and an interesting phenomenon of "time scale separation" occurs. Bounds on the stability region of linear networks are given. For the case of upstream trees, underlying monotonic properties are used. Finally, the asymptotic stability of those processes is analyzed when the access rate of the users decreases to 0. An appropriate scaling is introduced and used to prove that the stability region of those networks is asymptotically maximized.
机译:本文考虑了没有拥塞控制的网络流量模型。用户根据某些泊松过程生成数据传输,并以等于其访问速率的固定速率传输相应的数据包,直到在目的地接收到整个文档为止;一些擦除码用于使传输对分组丢失具有鲁棒性。我们研究了随机过程的稳定性,该过程表示两种特殊情况下的活动流量:线性网络和上游树。对于线性网络,我们特别要使用流体限制,并且会出现一个有趣的“时标分离”现象。给出了线性网络稳定区域的界。对于上游树木,将使用基础单调属性。最后,当用户的访问速率降低到0时,分析了这些过程的渐近稳定性。引入了适当的缩放比例,并用来证明那些网络的稳定性区域是渐近最大化的。

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