ELT: Efficient Log-based Troubleshooting System for Cloud Computing Infrastructures

Kamal Kc, Xiaohui Gu
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引用次数: 42

Abstract

We present an Efficient Log-based Troubleshooting(ELT) system for cloud computing infrastructures. ELT adopts a novel hybrid log mining approach that combines coarse-grained and fine-grained log features to achieve both high accuracy and low overhead. Moreover, ELT can automatically extract key log messages and perform invariant checking to greatly simplify the troubleshooting task for the system administrator. We have implemented a prototype of the ELT system and conducted an extensive experimental study using real management console logs of a production cloud system and a Hadoop cluster. Our experimental results show that ELT can achieve more efficient and powerful troubleshooting support than existing schemes. More importantly, ELT can find software bugs that cannot be detected by current cloud system management practice.
ELT:高效的基于日志的云计算基础设施故障排除系统
我们提出了一种高效的基于日志的云计算基础设施故障排除系统。ELT采用了一种新颖的混合日志挖掘方法,将粗粒度和细粒度的日志特征结合起来,实现了高精度和低开销。此外,ELT还可以自动提取关键日志消息并执行不变检查,从而大大简化了系统管理员的故障排除任务。我们已经实现了ELT系统的原型,并使用生产云系统和Hadoop集群的真实管理控制台日志进行了广泛的实验研究。实验结果表明,与现有的故障排除方案相比,ELT能够提供更高效、更强大的故障排除支持。更重要的是,ELT可以发现当前云系统管理实践无法检测到的软件漏洞。
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