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Bounds on average delays and queue size averages and variances in input-queued cell-based switches

机译:输入排队的基于单元的交换机中的平均延迟和队列大小平均值及方差的界限

摘要

We develop a general methodology, mainly based upon Lyapunov functions, to derive bounds on average delays, and on queue size averages and variances of complex systems of queues. We then apply this methodology to input-buffered, cell-based switch and router architectures. These architectures require a scheduling algorithm to select at each slot a subset of input-buffered cells which can be transferred towards output ports. Although the stability properties (i.e., the limit throughput) of input-buffered, cell-based switches was already studied for several classes of scheduling algorithms, no analytical results concerning cell delays or queue sizes are yet available in the technical literature. We concentrate on purely input-buffered switches that adopt a maximum weight matching scheduling algorithm, that was proved to be the scheduling algorithm providing the best performance. The derived bounds proved to be rather tight, when compared to simulation results.
机译:我们主要基于Lyapunov函数开发一种通用方法,以得出平均延迟,队列大小平均值和复杂队列系统的方差的界限。然后,我们将这种方法应用于输入缓冲的,基于信元的交换机和路由器体系结构。这些架构需要一种调度算法,以在每个时隙中选择一个输入缓冲单元的子集,该子集可以朝输出端口传输。尽管已经针对几种调度算法研究了基于输入缓冲的,基于信元的交换机的稳定性(即,极限吞吐量),但是在技术文献中还没有关于信元延迟或队列大小的分析结果。我们专注于采用最大权重匹配调度算法的纯输入缓冲交换机,事实证明这是提供最佳性能的调度算法。与仿真结果相比,导出的边界被证明是非常紧密的。

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