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Can Multipath Mitigate Power Law Delays? — Effects of Parallelism on Tail Performance

机译:多径缓解权力法延迟吗? - 并行性对尾部性能的影响

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Parallelism has often been used to improve the reliability and efficiency of a variety of different engineering systems. In this paper, we quantify the efficiency of parallelism in systems that are prone to failures and exhibit power law processing durations. We focus on the context of transmitting a data unit in communication networks, where parallelism can be achieved by multipath transmission (e.g., multipath routing). We investigate two types of transmission schemes: redundant and split transmission techniques. We find that the power-law transmission delay phenomenon still persists with multipath transmission. In particular, we show that when the transmission delays of each path are characterized by the same power law, redundant multipath transmission can only result in a constant factor performance gain, while order gains are possible when the delays are light tailed. We further compare the performance of redundant transmission and split transmission, and show that there is no clear winner. Depending on the packet size distribution properties and the manner in which splitting is performed, one scheme results in greater performance over the other. Specifically, split transmission is effective in mitigating power law delays if the absolute value of the logarithm of the packet size probability tail is regularly varying with positive index, and becomes ineffective if the above quantity is slowly varying. Based on our analysis, we develop an optimal split transmission strategy, and show that this strategy always outperforms redundant transmission.
机译:并行性通常用于提高各种不同工程系统的可靠性和效率。在本文中,我们量化了易于失败和展示权力法处理持续时间的系统中的并行性效率。我们专注于在通信网络中发送数据单元的上下文,其中通过多径传输可以实现并行性(例如,多路径路由)。我们调查了两种传输方案:冗余和分流传输技术。我们发现幂律传输延迟现象仍然存在于多径传输。特别地,我们表明,当每个路径的传输延迟的特征在于相同的电力法时,冗余多径传输只能导致恒定的因子性能增益,而当延迟尾部时,可以获得订单增益。我们进一步比较了冗余传输和拆分传输的性能,并显示没有明确的赢家。根据分组大小分配属性和执行拆分的方式,一个方案导致对另一个方案的更大性能。具体地,如果分组尺寸概率尾部的对数的绝对值定期改变正指数,则分流传输在减轻电力法延迟中是有效的,如果上述量缓慢变化,则变得无效。根据我们的分析,我们开发了最佳的拆分传输策略,并表明该策略总是优于冗余传输。

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