Congestion Policing Queues - A new approach to managing bandwidth sharing at bottlenecks

David P. Wagner
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引用次数: 4

Abstract

Managing bandwidth sharing at bottlenecks is a challenge as old as packet switched networks. When equal senders compete for bandwidth of a bottleneck, it is desirable not only to enforce an instantaneous sharing of the scarce resource but also to prevent permanently active customers from suppressing less active customers. Moreover, it is desirable to incentivize shifting load to non-congested networks or times. Today there is no cheap, efficient and effective mechanism available to achieve these goals. It has been argued that policing based on congestion as perceived by the transport layer can achieve these goals. In this paper we present the concept of Congestion Policing Queues (CPQ), based on a very lightweight dequeuing and scheduling because all customers share one queue. CPQs can police congestion if deployed at bottlenecks relevant to the customers' traffic. We developed three base policers that differ in the level of integration with the Active Queue Management (AQM) of the shared queue. By simulations of three scenarios we evaluate the robustness of the achieved resource sharing and performance in partial deployments for multi-bottleneck situations.
拥塞监管队列——在瓶颈处管理带宽共享的一种新方法
在瓶颈处管理带宽共享是一个与分组交换网络一样古老的挑战。当相等的发送方竞争瓶颈带宽时,不仅需要强制执行稀缺资源的瞬时共享,而且还需要防止永久活跃的客户压制不太活跃的客户。此外,激励将负载转移到非拥塞网络或时间是可取的。今天,没有廉价、高效和有效的机制来实现这些目标。有人认为,基于传输层感知到的拥塞进行监管可以实现这些目标。在本文中,我们提出了拥塞监管队列(CPQ)的概念,该概念基于一个非常轻量级的排队和调度,因为所有客户共享一个队列。如果部署在与客户流量相关的瓶颈处,cpq可以管理拥堵。我们开发了三个基本策略,它们与共享队列的活动队列管理(Active Queue Management, AQM)的集成级别不同。通过对三种场景的模拟,我们评估了在多瓶颈情况下局部部署所实现的资源共享和性能的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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