通过非对称大小的缓冲队列改进2类优先级路由的有限缓冲阻塞增量网络的性能

D. C. Vasiliadis, G. Rizos, C. Vassilakis
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引用次数: 10

摘要

本文通过仿真分析了具有2类路由流量的非对称大小有限缓冲Delta网络在各种负载下的均匀流量条件下的性能。通过收集两个最重要的网络性能因素(即数据包吞吐量和延迟)的指标,我们比较了两类优先级机制与单优先级机制的性能。我们还引入并计算了一个通用性能因子,它包括上述每个主要性能因子的重要性方面。我们发现使用非对称大小的缓冲系统可以更好地利用网络容量,而延迟的增量是可以容忍的。本文的目标是帮助网络设计者在实际网络实现之前进行性能预测,并了解每个参数因素的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Performance of Finite-Buffered Blocking Delta Networks with 2-Class Priority Routing through Asymmetric-Sized Buffer Queues
In this paper the performance of asymmetric-sized finite-buffered Delta Networks with 2-class routing traffic is presented and analyzed in the uniform traffic conditions under various loads using simulations. We compare the performance of 2-class priority mechanism against the single priority one, by gathering metrics for the two most important network performance factors, namely packet throughput and delay. We also introduce and calculate a universal performance factor, which includes the importance aspect of each of the above main performance factors. We found that the use of asymmetric-sized buffered systems leads to better exploitation of network capacity, while the increments in delays can be tolerated. The goal of this paper is to help network designers in performance prediction before actual network implementation and in understanding the impact of each parameter factor.
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