分布式系统中的亚稳态故障

N. Bronson, Abutalib Aghayev, Aleksey Charapko, T. Zhu
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引用次数: 9

摘要

我们描述了亚稳态故障——分布式系统中的一种故障模式。目前,亚稳态失效表现为黑天鹅事件;它们是异常值,因为过去没有任何证据表明它们有可能发生,它们有严重的影响,事后解释要比预测容易得多。虽然亚稳态失效的实例在表面上看起来不同,但更深入的分析表明,它们可以在相同的框架内被理解。我们引入了一个思考亚稳态故障的框架,将其应用于多年来大规模操作分布式系统所观察到的例子,并调查了事后开发的用于使系统适应已知亚稳态故障的专门技术。构建系统的系统方法对未知的元稳定故障具有鲁棒性仍然是一个开放的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metastable failures in distributed systems
We describe metastable failures---a failure pattern in distributed systems. Currently, metastable failures manifest themselves as black swan events; they are outliers because nothing in the past points to their possibility, have a severe impact, and are much easier to explain in hindsight than to predict. Although instances of metastable failures can look different at the surface, deeper analysis shows that they can be understood within the same framework. We introduce a framework for thinking about metastable failures, apply it to examples observed during years of operating distributed systems at scale, and survey ad-hoc techniques developed post-factum for making systems resilient to known metastable failures. A systematic approach for building systems that are robust against unknown meta-stable failures remains an open problem.
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