再现“重构端点拥塞控制”的关键结果

Tushar Dhoot, Joe Zhang
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引用次数: 0

摘要

这项工作是Narayan等人的论文[8]的复制,该论文介绍了拥塞控制平面(CCP)作为开发拥塞控制算法的机制。CCP可以用来改进物联网(IoT)网络的TCP/IP,因此在Dunkels等人所描述的围绕TCP/IP对物联网应用的适用性的讨论中是相关的。我们的复制实验证实CCP具有高保真度,拥塞控制直接在OS内核中实现。除了一个例外,我们的研究也证实了CCP算法在它们的性能上没有实质性的差异。这些结果证实了CCP是对内核级拥塞控制的有希望的增强。我们的实验确实发现了值得关注的领域。我们在作者提供的代码中发现了几个不可操作的工件。由于底层系统的变化,我们的实验设置在再现原始结果时出现了问题。我们发现了一个图表,它被意外地贴错了标签。最后,我们发现有一小部分性能测量无法重现,并将其标记为进一步研究。我们还提出了对如何共享复制环境的改进,作为提高可再现性的一般建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reproducing Key Results from "Restructuring Endpoint Congestion Control"
This work is a reproduction of Narayan et. al’s paper [8] which introduced the Congestion Control Plane (CCP) as a mechanism to develop congestion control algorithms. CCP can be leveraged to improve TCP/IP for Internet of Things (IoT) networks and is therefore relevant in the conversation around the suitability of TCP/IP for IoT applications as described by Dunkels et. al [4].Our reproduction experiments confirm CCP has high fidelity with congestion control implemented directly in the OS kernel. With one exception, our study also confirms that CCP algorithms do not materially differ in their performance. These results affirm that CCP is a promising enhancement over kernel level congestion control.Our experiments did find areas of concern. We discovered several inoperable artifacts in the code provided by the authors. Our experimental setup surfaced issues with reproducing the original results due to changes in the underlying systems. We discovered a graph that was accidentally mislabeled in a material way. Finally, we found a small subset of performance measurements could not be reproduced and flagged these for further research. We also proposed improvements to how replication environments are shared as a general suggestion to improve reproducibility.
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