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Active Queue Management in Blind Access Networks

机译:盲目接入网络中的活动队列管理

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Per-flow AQM schemes are designed to provide fair resource management between flows and limit the negative effects of non-adaptive UDP-based flows. To overcome the flow bandwidth limitation, P2P and file sharing applications usually open multiple simultaneous TCP based flows. Although each TCP-based flow is adaptive and responds to network congestion, the aggregated demand of such application consumes network resources and dominates the queue space. In this article we suggest a new per user AQM policy designed to remedy this problem. Since user traffic in access networks is usually carried in user tunnels such as PPP or GTP, an access network device cannot identify the underlying applications and TCP/UDP flows. The new per-user AQM policy presented here operates in the dark and only uses tunnel aggregated statistics. Simulation results show that it significantly reduces the bias effects of heavy, demanding applications.
机译:每流程AQM方案旨在提供流量之间的公平资源管理,并限制基于非自适应UDP的流量的负面影响。为了克服流量带宽限制,P2P和文件共享应用程序通常打开多个同时的基于TCP的流。虽然每个基于TCP的流程都是自适应的并且响应网络拥塞,但这种应用的聚合需求消耗了网络资源并主导了队列空间。在本文中,我们建议每个用户AQM策略旨在纠正此问题。由于接入网络中的用户流量通常被携带,例如PPP或GTP等用户隧道,因此接入网络设备不能识别底层应用和TCP / UDP流。这里展示的新的每用户AQM策略在黑暗中运行,只使用隧道聚合统计数据。仿真结果表明,它显着降低了重,苛刻的应用的偏差影响。

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