服务器挂起Bug自动诊断:可行的现实还是白日梦?

2015 IEEE International Conference on Autonomic Computing Pub Date : 2015-07-07 DOI:10.1109/ICAC.2015.52

D. Dean, Peipei Wang, Xiaohui Gu, W. Enck, Guoliang Jin

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引用次数: 8

摘要

众所周知，诊断服务器挂起错误非常困难，因为它们通常只生成很少的诊断信息，而且很难脱机重现。在本文中，我们对8个常见的开源服务器系统(Apache, Lighttpd, My SQL, Squid, HDFS, Hadoop Mapreduce, Tomcat, Cassandra)中的177个真实软件挂起错误进行了特征研究。我们确定了三个主要的根本原因类别(即，程序员错误，错误处理的值，并发性问题)。然后我们描述了两个主要问题(即假阳性和假阴性)，同时将现有的基于规则的错误检测技术应用于这些错误。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic Server Hang Bug Diagnosis: Feasible Reality or Pipe Dream?

It is notoriously difficult to diagnose server hang bugs as they often generate little diagnostic information and are difficult to reproduce offline. In this paper, we present a characteristic study of 177 real software hang bugs from 8 common open source server systems (i.e., Apache, Lighttpd, My SQL, Squid, HDFS, Hadoop Mapreduce, Tomcat, Cassandra). We identify three major root cause categories (i.e., Programmer errors, mishandled values, concurrency issues). We then describe two major problems (i.e., False positives and false negatives) while applying existing rule-based bug detection techniques to those bugs.

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2015 IEEE International Conference on Autonomic Computing

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