4.7 Article

A Survey of Online Failure Prediction Methods

期刊

ACM COMPUTING SURVEYS
卷 42, 期 3, 页码 -

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/1670679.1670680

关键词

Algorithms; Reliability; Error; failure prediction; fault; prediction metrics; runtime monitoring

资金

  1. Intel Corporation
  2. German Research Foundation

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With the ever-growing complexity and dynamicity of computer systems, proactive fault management is an effective approach to enhancing availability. Online failure prediction is the key to such techniques. In contrast to classical reliability methods, online failure prediction is based on runtime monitoring and a variety of models and methods that use the current state of a system and, frequently, the past experience as well. This survey describes these methods. To capture the wide spectrum of approaches concerning this area, a taxonomy has been developed, whose different approaches are explained and major concepts are described in detail.

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