Discovering correctness constraints for self-management of system configuration

Emre Kycyman, Yi-Min Wang
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引用次数: 72

Abstract

Managing the configuration of computer systems is a difficult task. Too easily, a computer user or administrator can make a simple mistake and misconfigure a system, causing instabilities, unexpected behavior, and general unreliability. Bugs in software that changes these configurations, such as installers, only worsen the situation. A self-managing configuration system should be continuously monitoring itself for invalid settings, preventing the bugs from harming the system. Unfortunately, while there are many constraints which can differentiate between valid and invalid settings, few are explicitly written down, much less written down in a form usable by an automatic monitor. We propose an approach to automatically infer these correctness constraints based on samples of known good configurations. In this paper we present Glean, a system for analyzing the structure of configurations and automatically inferring four types of correctness constraints on that structure.
发现系统配置自我管理的正确性约束
管理计算机系统的配置是一项艰巨的任务。计算机用户或管理员很容易犯一个简单的错误并错误配置系统,从而导致不稳定、意外行为和总体不可靠性。改变这些配置的软件(如安装程序)中的错误只会使情况更糟。一个自我管理的配置系统应该持续监控自己的无效设置,防止错误损害系统。不幸的是,虽然有许多约束可以区分有效和无效的设置,但很少有明确地写下来的,更不用说以自动监视器可用的形式写下来了。我们提出了一种基于已知良好配置的样本自动推断这些正确性约束的方法。在本文中,我们提出了一个用于分析配置结构并自动推断该结构上的四种类型的正确性约束的系统。
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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