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When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling

机译:当重尾流和轻尾流竞争时:广义最大权重调度下的响应时间尾

摘要

This paper focuses on the design and analysis of scheduling policies for multi-class queues, such as those found in wireless networks and high-speed switches. In this context, we study the response-time tail under generalized max-weight policies in settings where the traffic flows are highly asymmetric. Specifically, we consider a setting where a bursty flow, modeled using heavy-tailed statistics, competes with a more benign, light-tailed flow. In this setting, we prove that classical max-weight scheduling, which is known to be throughput optimal, results in the light-tailed flow having heavy-tailed response times. However, we show that via a careful design of inter-queue scheduling policy (from the class of generalized max-weight policies) and intra-queue scheduling policies, it is possible to maintain throughput optimality, and guarantee light-tailed delays for the light-tailed flow, without affecting the response-time tail for the heavy-tailed flow.
机译:本文着重于设计和分析多类队列的调度策略,例如在无线网络和高速交换机中发现的那些策略。在这种情况下,我们研究了在交通流量高度不对称的情况下,在广义最大权重策略下的响应时间尾部。具体来说,我们考虑一种设置,其中使用重尾统计量建模的突发流与更良性的轻尾流竞争。在这种情况下,我们证明了已知的吞吐量最佳的经典最大权重调度会导致轻尾流具有较重的尾随响应时间。但是,我们表明,通过精心设计队列间调度策略(从广义最大权重策略的类别)和队列内调度策略,可以保持吞吐量的最优性,并确保轻型轻型延迟。尾流,而不会影响重尾流的响应时间尾部。

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