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A Survey of Online Failure Prediction Methods

机译:在线故障预测方法概述

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摘要

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.
机译:随着计算机系统的复杂性和动态性不断增长,主动故障管理是提高可用性的有效方法。在线故障预测是此类技术的关键。与传统的可靠性方法相比,在线故障预测基于运行时监视以及使用系统当前状态(通常还使用过去的经验)的各种模型和方法。本调查描述了这些方法。为了捕获与该领域有关的各种方法,已经开发了一种分类法,其解释了不同的方法并详细描述了主要概念。

著录项

  • 来源
    《ACM Computing Surveys》 |2010年第3期|P.10.1-10.42|共42页
  • 作者单位

    Department of Computer Science, Humboldt-Universitaet zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;

    rnDepartment of Computer Science, Humboldt-Universitaet zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;

    rnDepartment of Computer Science, Humboldt-Universitaet zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    error; failure prediction; fault; prediction metrics; runtime monitoring;

    机译:错误;故障预测;故障;预测指标;运行时监控;
  • 入库时间 2022-08-18 00:46:13

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