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PROJECTIVE CONE SCHEDULES IN QUEUEING STRUCTURES; Geometry of Packet Scheduling in Communication Network Switches1

机译:排队结构中的射影锥时间表;通信网络交换机中分组调度的几何结构1

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摘要

We consider a processing system having several queues, where X_q is the workload in queue q. At any point in time, the system can be set to one of several service configurations, which form a set S. When the system is set to service configuration/vector S ∈ S, queue q receives service at rate S_q. It has been known [2, 3, 4] that - under very general traffic traces - the schedule, which chooses the service vector S maximizing the inner product (S, AX) = ∑_q S_qα_ X_q when the workload vector is X, provides the highest possible throughput under any fixed diagonal matrix A = diag{α_q} with positive entries. That is, it stabilizes the system under the maximum possible traffic load, for very general traffic traces.In this paper, the above result is substantially extended. It is shown that throughput maximization is achieved by any schedule, which chooses a service vector S ∈ S that maximizes the inner product(S, BX) = ∑, ∑, S_pB_(pq)X_q (0.1)p qwhen the workload vector is X, for any fixed matrix B = {B_(pq)} that is positive-definite, has negative or zero off-diagonal elements, and is symmetric. In the context of input-queued packet switches for communication networks, which are special applications of the model studied here, the result substantially extends the popular Maximum Weight Matching (MWM) algorithms for packet/cell scheduling [10, 9]. We examine some practical implications of the extended new algorithms and their scalable implementations.
机译:我们考虑具有多个队列的处理系统,其中X_q是队列q中的工作量。在任何时间点,都可以将系统设置为形成集合S的几种服务配置之一。当系统设置为服务配置/向量S∈S时,队列q以速率S_q接收服务。已知[2,3,4]-在非常通用的流量跟踪下-计划,当工作负荷向量为X时,选择服务向量S以最大化内积(S,AX)= ∑_qS_qα_X_q在具有正项的任何固定对角矩阵A = diag {α_q}下的最大可能吞吐量。也就是说,对于非常普通的流量跟踪,它将系统稳定在最大可能的流量负载下。本文对上述结果进行了实质性扩展。结果表明,通过任何调度都可以实现吞吐量最大化,当工作负载向量为X时,选择服务向量S∈S可使内积(S,BX)= ∑,∑,S_pB_(pq)X_q(0.1)p q最大化。 ,对于任何正定的,具有负或零个非对角元素且对称的固定矩阵B = {B_(pq)}。在通信网络的输入排队分组交换机(这里研究的模型是特殊应用)的情况下,结果大大扩展了流行的最大权重匹配(MWM)算法,用于分组/信元调度[10,9]。我们研究了扩展新算法及其可扩展实现的一些实际含义。

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  • 会议地点 Monticello IL(US)
  • 作者

    Kevin Ross; Nicholas Bambos;

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    Dept. of Management Science Engineering Stanford University Stanford CA 94305 kross@stanford.edu;

    Department of Management Science Engineering and Department of Electrical Engineering Stanford University Stanford CA 94305 bambos@stanford.edu;

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