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Kollaps/Thunderstorm: Reproducible Evaluation of Distributed Systems Tutorial Paper

机译:Kollaps / Thunderstorm:分布式系统的可重复评估教程文件

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Reproducing experimental results is nowadays seen as one of the greatest impairments for the progress of science in general and distributed systems in particular. This stems from the increasing complexity of the systems under study and the inherent complexity of capturing and controlling all variables that can potentially affect experimental results. We argue that this can only be addressed with a systematic approach to all the stages and aspects of the evaluation process, such as the environment in which the experiment is run, the configuration and software versions used, and the network characteristics among others. In this tutorial paper, we focus on the networking aspect, and discuss our ongoing research efforts and tools to contribute to a more systematic and reproducible evaluation of large scale distributed systems.
机译:如今,再现实验结果是作为一般和分布式系统的科学进程的最大障碍之一。这源于正在研究的系统的增加和捕获和控制可能影响实验结果的所有变量的固有复杂性。我们认为这只能以系统方法解决,以获得评估过程的所有阶段和各个方面,例如运行实验的环境,所使用的配置和软件版本以及网络特征。在本教程中,我们专注于网络方面,并讨论我们正在进行的研究工作和工具,以促进对大规模分布式系统的更系统和可重复的评估。

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