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A survey of general-purpose experiment management tools for distributed systems

机译：分布式系统通用实验管理工具概述

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摘要

In the field of large-scale distributed systems, experimentation is particularly difficult. The studied systems are complex, often nondeterministic and unreliable, software is plagued with bugs, whereas the experiment workflows are unclear and hard to reproduce. These obstacles led many independent researchers to design tools to control their experiments, boost productivity and improve quality of scientific results. Despite much research in the domain of distributed systems experiment management, the current fragmentation of efforts asks for a general analysis. We therefore propose to build a framework to uncover missing functionality of these tools, enable meaningful comparisons between them and find recommendations for future improvements and research. The contribution in this paper is twofold. First, we provide an extensive list of features offered by general-purpose experiment management tools dedicated to distributed systems research on real platforms. We then use it to assess existing solutions and compare them, outlining possible future paths for improvements.
机译：在大规模分布式系统领域，实验特别困难。所研究的系统很复杂，通常是不确定性和不可靠的，软件容易受到错误的困扰，而实验工作流程却不清楚并且难以复制。这些障碍导致许多独立研究人员设计了工具来控制他们的实验，提高生产率并提高科学成果的质量。尽管在分布式系统实验管理领域进行了大量研究，但目前的工作分散要求进行常规分析。因此，我们建议建立一个框架来发现这些工具的缺失功能，在它们之间进行有意义的比较，并为以后的改进和研究找到建议。本文的贡献是双重的。首先，我们提供了专用于实际平台上的分布式系统研究的通用实验管理工具所提供的功能的广泛列表。然后，我们将其用于评估现有解决方案并进行比较，概述未来可能的改进途径。

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