FCatch: Automatically Detecting Time-of-fault Bugs in Cloud Systems

Haopeng Liu, Xu Wang, Guangpu Li, Shan Lu, Feng Ye, Chen Tian
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引用次数: 26

Abstract

It is crucial for distributed systems to achieve high availability. Unfortunately, this is challenging given the common component failures (i.e., faults). Developers often cannot anticipate all the timing conditions and system states under which a fault might occur, and introduce time-of-fault (TOF) bugs that only manifest when a node crashes or a message drops at a special moment. Although challenging, detecting TOF bugs is fundamental to developing highly available distributed systems. Unlike previous work that relies on fault injection to expose TOF bugs, this paper carefully models TOF bugs as a new type of concurrency bugs, and develops FCatch to automatically predict TOF bugs by observing correct execution. Evaluation on representative cloud systems shows that FCatch is effective, accurately finding severe TOF bugs.
FCatch:自动检测云系统中的故障时间错误
分布式系统实现高可用性是至关重要的。不幸的是,考虑到常见的组件故障(即错误),这是具有挑战性的。开发人员通常无法预测可能发生故障的所有时间条件和系统状态,并引入故障时间(TOF)错误,这些错误仅在节点崩溃或在特定时刻丢失消息时才会出现。尽管具有挑战性,但检测TOF错误是开发高可用性分布式系统的基础。与以往的工作依赖于错误注入来暴露TOF错误不同,本文将TOF错误仔细地建模为一种新型的并发错误,并开发了FCatch,通过观察正确执行来自动预测TOF错误。对代表性云系统的评估表明,FCatch是有效的,可以准确地发现严重的TOF漏洞。
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