关于跨堆栈配置错误

M. Sayagh, Noureddine Kerzazi, Bram Adams
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引用次数: 23

摘要

今天的web应用程序部署在强大的软件堆栈上,比如MEAN (JavaScript)或LAMP (PHP),它们由多个层组成,如操作系统、web服务器、数据库、执行引擎和应用程序框架,每个层都为其上面的层提供资源。不幸的是,这些强大的软件堆栈受到所谓的跨堆栈配置错误(csce)的困扰,其中堆栈中的较高层突然开始表现不正确,甚至由于较低层的错误配置选择而崩溃。由于编程语言的差异以及不同层的配置选项之间缺乏明确的联系,系统管理员和开发人员很难确定欧安会的原因,这就是为什么本文(1)对1,082个配置错误进行定性分析,以了解处理欧安会的影响、努力和复杂性,然后(2)提出一种模块化方法,该方法插入现有的源代码分析(切片)技术。为了推荐罪魁祸首配置选项。对LAMP堆栈前3层的36个实际cse的经验评估表明,我们的方法报告了32个cse的错误配置选项,平均排名为2.18,并且只需要几分钟,使其具有实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Cross-Stack Configuration Errors
Today's web applications are deployed on powerful software stacks such as MEAN (JavaScript) or LAMP (PHP), which consist of multiple layers such as an operating system, web server, database, execution engine and application framework, each of which provide resources to the layer just above it. These powerful software stacks unfortunately are plagued by so-called cross-stack configuration errors (CsCEs), where a higher layer in the stack suddenly starts to behave incorrectly or even crash due to incorrect configuration choices in lower layers. Due to differences in programming languages and lack of explicit links between configuration options of different layers, sysadmins and developers have a hard time identifying the cause of a CsCE, which is why this paper (1) performs a qualitative analysis of 1,082 configuration errors to understand the impact, effort and complexity of dealing with CsCEs, then (2) proposes a modular approach that plugs existing source code analysis (slicing) techniques, in order to recommend the culprit configuration option. Empirical evaluation of this approach on 36 real CsCEs of the top 3 LAMP stack layers shows that our approach reports the misconfigured option with an average rank of 2.18 for 32 of the CsCEs, and takes only few minutes, making it practically useful.
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