在共享的公共测试平台上创建可重复的计算机科学和网络实验

Sarah Edwards, Xuan Liu, N. Riga
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引用次数: 18

摘要

使用共享的公共测试平台(如GENI、Emulab或PlanetLab)来进行计算机科学和网络方面的实验有许多令人信服的理由。这些测试平台支持使用大量不同的资源创建实验。此外,这些试验台的构造本身就支持科学合理研究所需的实验可重复性。最后,研究人员重复自己实验所需的人工制品可以共享,以便其他人可以在相同的环境中轻松地重复实验。然而,使用共享的公共测试平台与在实验者或实验者认识的人拥有的资源上进行实验是不同的。在共享的公共测试平台上进行的实验更有可能使用大型拓扑,使用稀缺的资源,并且需要容忍测试平台中的中断和维护。此外,实验人员可能无法访问低级别的调试信息。本文描述了一种方法,供新实验者编写和部署可重复和可共享的实验,通过以下方式应对这些挑战:有一个明确的计划;通过遵循软件工程和系统管理的最佳实践,自动化实验的执行和分析;建立可扩展的实验。此外,本文还描述了一个在GENI测试平台上运行的案例研究,以说明所描述的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating Repeatable Computer Science and Networking Experiments on Shared, Public Testbeds
There are many compelling reasons to use a shared, public testbed such as GENI, Emulab, or PlanetLab to conduct experiments in computer science and networking. These testbeds support creating experiments with a large and diverse set of resources. Moreover these testbeds are constructed to inherently support the repeatability of experiments as required for scientifically sound research. Finally, the artifacts needed for a researcher to repeat their own experiment can be shared so that others can readily repeat the experiment in the same environment. However using a shared, public testbed is different from conducting experiments on resources either owned by the experimenter or someone the experimenter knows. Experiments on shared, public testbeds are more likely to use large topologies, use scarce resources, and need to be tolerant to outages and maintenances in the testbed. In addition, experimenters may not have access to low-level debugging information. This paper describes a methodology for new experimenters to write and deploy repeatable and sharable experiments which deal with these challenges by: having a clear plan; automating the execution and analysis of an experiment by following best practices from software engineering and system administration; and building scalable experiments. In addition, the paper describes a case study run on the GENI testbed which illustrates the methodology described.
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