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CSR: Small: Proactive Methods in Handling Configuration Errors in Data Centers and Cloud Infrastructures

CSR：小：处理数据中心和云基础设施中配置错误的主动方法

基本信息

批准号：
1321006
负责人：
Yuanyuan Zhou
金额：
$ 32.93万
依托单位：
University of California-San Diego
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-10-01 至 2017-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1321006&HistoricalAwards=false
关键词：
CSR Small Proactive Methods Handling

项目摘要

Configuration errors (i.e., misconfiguration) are a major cause of system failures according to several studies. For example, misconfiguration has caused serious crashes and center-wide outages in a number of data centers and commercial cloud infrastructures affecting millions of customers. In addition to system down time, misconfiguration also wastes engineers' or administrators' time in troubleshooting and corrections, leading to significant maintenance and support costs.Although recent work on detecting misconfiguration has improved the situation to some degree, the fundamental root cause needs to be better addressed. Based on the insights gained from the PIs' recent empirical study on 546 real world configuration errors in commercial and open source systems, the intellectual merit of this project is to take a more fundamental approach to addressing misconfiguration problems from the root cause in a proactive, anticipatory way. This work has three objectives: (1) to improve configuration design to make them less error-prone; (2) to harden software systems to better tolerate and gracefully react to users' configuration errors; and (3) to detect hard-to-check configuration issues such as compatibility and cross-component parameter inconsistency.The broader impacts include significantly reducing the amount of system downtime in data centers, decreasing vendors' customer support cost for troubleshooting configuration issues, and planned educational, outreach, and broadening participation activities.

配置错误（即，错误配置）是系统故障的主要原因。例如，错误配置导致了许多数据中心和商业云基础设施的严重崩溃和中心范围的中断，影响了数百万客户。除了系统停机时间外，错误配置还浪费了工程师或管理员的时间来进行故障排除和纠正，从而导致大量的维护和支持成本。尽管最近的错误配置检测工作在一定程度上改善了这种情况，但根本原因需要更好地解决。基于PI最近对商业和开源系统中546个真实的配置错误的实证研究所获得的见解，该项目的智力价值是采取一种更根本的方法，以积极主动的方式从根本上解决配置错误问题。这项工作有三个目标：（1）改进配置设计，使其更不易出错;（2）加强软件系统，以更好地容忍和优雅地对用户的配置错误作出反应;以及（3）检测难以检查的配置问题，如兼容性和跨组件参数不一致性。更广泛的影响包括显著减少数据中心的系统停机时间，降低供应商在解决配置问题方面的客户支持成本，并计划开展教育、推广和扩大参与活动。