Fail-Slow at Scale

Haryadi S. Gunawi, Riza O. Suminto, R. Sears, Casey Golliher, S. Sundararaman, Xing Lin, Tim Emami, Weiguang Sheng, N. Bidokhti, C. McCaffrey, Deepthi Srinivasan, Biswaranjan Panda, A. Baptist, G. Grider, P. Fields, K. Harms, R. Ross, Andree Jacobson, R. Ricci, Kirk Webb, P. Alvaro, H. Runesha, M. Hao, Huaicheng Li
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引用次数: 45

Abstract

Fail-slow hardware is an under-studied failure mode. We present a study of 114 reports of fail-slow hardware incidents, collected from large-scale cluster deployments in 14 institutions. We show that all hardware types such as disk, SSD, CPU, memory, and network components can exhibit performance faults. We made several important observations such as faults convert from one form to another, the cascading root causes and impacts can be long, and fail-slow faults can have varying symptoms. From this study, we make suggestions to vendors, operators, and systems designers.
大规模慢速故障
慢速故障硬件是一种尚未得到充分研究的故障模式。我们对14个机构的大规模集群部署中收集的114份故障慢速硬件事件报告进行了研究。我们展示了所有硬件类型(如磁盘、SSD、CPU、内存和网络组件)都可能出现性能故障。我们进行了一些重要的观察,例如故障从一种形式转换为另一种形式,级联的根本原因和影响可能很长,故障缓慢故障可能具有不同的症状。根据这项研究,我们对供应商、运营商和系统设计师提出建议。
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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