A Survey of Online Failure Prediction Methods

被引:382
作者
Salfner, Felix [1 ]
Lenk, Maren [1 ]
Malek, Miroslaw [1 ]
机构
[1] Humboldt Univ, Dept Comp Sci, D-10099 Berlin, Germany
关键词
Algorithms; Reliability; Error; failure prediction; fault; prediction metrics; runtime monitoring; SOFTWARE; MANAGEMENT; NETWORK;
D O I
10.1145/1670679.1670680
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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.
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页数:42
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