Apt: A Platform for Repeatable Research in Computer Science

R. Ricci, Gary Wong, L. Stoller, Kirk Webb, Jonathon Duerig, Keith Downie, Mike Hibler
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引用次数: 30

Abstract

Repeating research in computer science requires more than just code and data: it requires an appropriate environment in which to run experiments. In some cases, this environment appears fairly straightforward: it consists of a particular operating system and set of required libraries. In many cases, however, it is considerably more complex: the execution environment may be an entire network, may involve complex and fragile configuration of the dependencies, or may require large amounts of resources in terms of computation cycles, network bandwidth, or storage. Even the "straightforward" case turns out to be surprisingly intricate: there may be explicit or hidden dependencies on compilers, kernel quirks, details of the ISA, etc. The result is that when one tries to repeat published results, creating an environment sufficiently similar to one in which the experiment was originally run can be troublesome; this problem only gets worse as time passes. What the computer science community needs, then, are environments that have the explicit goal of enabling repeatable research. This paper outlines the problem of repeatable research environments, presents a set of requirements for such environments, and describes one facility that attempts to address them.
Apt:计算机科学可重复研究的平台
重复计算机科学研究需要的不仅仅是代码和数据:它还需要一个合适的环境来运行实验。在某些情况下,这个环境看起来相当简单:它由一个特定的操作系统和一组所需的库组成。然而,在许多情况下,情况要复杂得多:执行环境可能是整个网络,可能涉及依赖项的复杂而脆弱的配置,或者可能在计算周期、网络带宽或存储方面需要大量资源。即使是“简单”的情况也会变得令人惊讶地复杂:可能存在对编译器、内核特性、ISA细节的显式或隐藏依赖,等等。结果是,当一个人试图重复发表的结果时,创造一个与最初进行实验的环境足够相似的环境可能会很麻烦;随着时间的推移,这个问题只会变得更糟。因此,计算机科学社区需要的是具有明确目标的环境,以实现可重复的研究。本文概述了可重复研究环境的问题,提出了对这种环境的一组要求,并描述了一个试图解决这些问题的设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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