理解大型系统故障—故障注入实验

R. Chillarege, N. Bowen
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引用次数: 191

摘要

故障注入用于描述大型系统故障。因此,它克服了现场故障数据缺乏完整信息所带来的限制。实验是在商业事务处理系统上进行的。作者:(1)引入失效加速的思想进行此类实验;(2)估计主服务的全部损失只发生在16%的故障中;(3)揭示被称为潜在危险的错误,这些错误不会影响短期可用性,但会在运行状态发生变化后导致灾难性故障;(4)确定至少41%的错误是在完全失效之前需要修复的潜在候选错误。结果增强了对大型系统故障的理解,并为设计增强和可用性建模提供了基础。
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Understanding large system failures-a fault injection experiment
Fault injection is used to characterize large system failures. Thus, it overcomes limitations imposed by the lack of complete information in field failure data. The experiment is conducted on a commercial transaction processing system. The authors: (1) introduce the idea of failure acceleration to conduct such experiments; (2) estimate total loss of the primary service to occur in only 16% of the faults; (3) reveal errors termed potential hazards that do not affect short-term availability but cause a catastrophic failure following a change in operating state; and (4) identify at least 41% of errors as potential candidates for repair before total failure. The results enhance the understanding of large system failures and provide a foundation for design enhancements and modeling of availability.<>
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