比例差异化业务,第二部分:丢包率差异化和丢包

C. Dovrolis, Parameswaran Ramanathann
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引用次数: 156

摘要

Dovrolis等人(1999)提出了比例差异化模型,作为可控和可预测的相对差异化服务的目标。该模型只考虑了延迟区分方面的问题,并着重于分组调度机制。本文将比例微分模型向损失率微分方向扩展。以前的一些缓冲区管理和数据包丢弃机制,如完全缓冲区分区、部分缓冲区共享或多类RED,都不适合相对差异化的服务。我们提出并评估了两种接近比例损失率分化模型的下降机制。两个滴管,PLR(/spl infin/)和PLR(M),在测量损失率和按比例调整的时间间隔上是不同的。这种差异导致在实现复杂性、准确性和处理非固定流量负载的能力方面进行了一些权衡。我们还重新评估了dodovolis等人的等待时间优先级(WTP)调度程序在有限缓冲区和数据包丢失的情况下可以实现的延迟区分;这项研究扩展了他们的结果,为WTP在重载条件下的行为提供了进一步的见解。最后,我们研究了延迟和损失率比例差异对大容量传输TCP连接吞吐量的耦合影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proportional differentiated services, part II: loss rate differentiation and packet dropping
The proportional differentiation model was proposed in Dovrolis et al. (1999), as a target for controllable and predictable relative differentiated services. Only the delay differentiation aspect of the model was considered, and focused on packet scheduling mechanisms. In this paper, we extend the proportional differentiation model in the direction of loss rate differentiation. Several previous mechanisms for buffer management and packet dropping, such as complete buffer partitioning, partial buffer sharing, or multi-class RED, are not suitable for relative differentiated services. We propose and evaluate two dropping mechanisms that closely approximate the proportional loss rate differentiation model. The two droppers, PLR(/spl infin/) and PLR(M), differ in the time interval over which the loss rates are measured and proportionally adjusted. This difference results in several trade-offs, in terms of implementation complexity, accuracy, and ability to deal with nonstationary traffic loads. We also re-evaluate the delay differentiation that the waiting time priorities (WTP) scheduler, of Dovrolis et al., can achieve in the presence of finite buffers and packet losses; this study extends their results providing further insight into the behavior of WTP in heavy load conditions. Finally, we examine the coupled effect of delay and loss rate proportional differentiation on the throughput of bulk-transfer TCP connections.
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