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Designing Repeatable Experiments on an Emulab Testbed

机译:在仿真测试用emulab测试中设计可重复实验

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摘要

Emulation testbeds are increasingly used in an effort to promote repeatable experiments in the area of distributed systems and networking. In this paper we are studying how different design choices, e.g. use of specific tools, can affect the repeatability of experiments of an emulation testbed (e.g. based on the Emulab software). Our study is based on multiple experiments that are checked for stability and consistency (e.g., repetition of the same experiment and measurement of the mean and standard deviation of our metrics). The results indicate that repeatability of quantitative results is possible, under a degree of expected statistical variation. The event scheduling mechanism of Emulab is proven to be accurate down to a sub-second granularity. On the other hand we demonstrate that there are significant differences between traffic generation tools in terms of consistent recreation of a predefined traffic pattern and therefore experiment repeatability. The main contribution of this study is that based on experimental results we provide scientific proofs that Emulab as a platform can be used for scientifically rigorous experiments for networking research. New users of Emulab can benefit from this study by understanding that Emulab's scheduling mechanism, it's built-in packet generators and Iperf can sufficiently support repeatable experiments while TCPreplay cannot and therefore an alternative tool, i.e. TCPivo should be used.
机译:仿真测试平台越来越多地用于促进分布式系统和网络领域的可重复实验。在本文中,我们正在研究如何不同的设计选择,例如,使用特定工具,可以影响仿真测试的实验的可重复性(例如,基于Emulab软件)。我们的研究基于多个实验,检查稳定性和一致性(例如,重复相同的实验和测量我们指标的平均值和标准偏差)。结果表明,在预期统计变异程度下,可以进行定量结果的可重复性。 emulab的事件调度机制被证明是准确的降低到子第二粒度。另一方面,我们证明交通发电工具之间的一致性统计流量模式的重新创建以及实验重复性之间存在显着差异。本研究的主要贡献是,基于实验结果,我们提供科学证据,即Emulab作为平台可用于科学的网络研究实验。 Emulab的新用户可以通过了解emulab的调度机制,它内置数据包生成器和IPerf可以充分支持可重复实验,而TCPreplay不能且因此是替代工具,即应使用TCPivo。

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