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An active queue management scheme based on a capture-recapture model

机译:基于捕获-捕获模型的主动队列管理方案

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One of the challenges in the design of switches/routers is the efficient and fair use of the shared bottleneck bandwidth among different Internet flows. In particular, various active queue management (AQM) schemes have been developed to regulate transmission control protocol traffic in response to router congestion. In addition, in order to provide fair bandwidth sharing, these AQM must protect the well-behaved flows from the misbehaving flows. However, most of the existing AQM schemes cannot provide accurate fair bandwidth sharing while being scalable. The key to the scalability and fairness of the AQM schemes is the accurate estimation of certain network resources without keeping too much state information. We propose a novel technique to estimate two network resource parameters: the number of flows in the buffer and the data source rate of a flow by using a capture-recapture (CR) model. The CR model depends on simply the random capturing/recapturing of the incoming packets, and as a result, it provides a good approximation tool with low time/space complexity. These network resource parameters are then used to provide fair bandwidth sharing among the Internet flows. Our experiments and analysis will demonstrate that this new technique outperforms the existing mechanisms and closely approximates the "ideal" case, where full state information is needed.
机译:交换机/路由器设计中的挑战之一是如何有效,公平地使用不同Internet流之间的共享瓶颈带宽。特别是,已经开发了各种活动队列管理(AQM)方案来响应路由器拥塞来调节传输控制协议流量。另外,为了提供公平的带宽共享,这些AQM必须保护行为良好的流免受行为异常的流的影响。但是,大多数现有的AQM方案在可伸缩的同时不能提供准确的公平带宽共享。 AQM方案的可伸缩性和公平性的关键是在不保留太多状态信息的情况下准确估计某些网络资源。我们提出了一种新颖的技术来估计两个网络资源参数:缓冲区中的流数和通过使用捕获-捕获(CR)模型的流的数据源速率。 CR模型仅依赖于传入数据包的随机捕获/重新捕获,因此,它提供了一个良好的近似工具,具有较低的时间/空间复杂度。这些网络资源参数然后用于在Internet流之间提供公平的带宽共享。我们的实验和分析将证明,这项新技术的性能优于现有机制,并且非常接近需要理想状态信息的“理想”情况。

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