云基础设施的可靠性压力测试

Lena Feinbube, Lukas Pirl, Peter Tröger, A. Polze
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引用次数: 1

摘要

现代分布式系统已经达到了复杂的程度,软件错误和硬件故障不再是例外,而是一个永久的操作威胁。这尤其适用于云基础设施,它需要在定义良好的服务水平协议下向客户交付资源。可靠性需要仔细评估。本文介绍了一种在云基础设施中进行可靠性压力测试的结构化方法。我们自动确定并注入最大数量的同时在不同的变化的非致命错误。这将现有的弹性机制置于沉重的负载之下,以便测试它们在极端情况下的有效性。出发点是系统的失效空间可靠性模型。它包括容错依赖关系的概念,该概念对不同软件层之间的故障触发关系进行编码。从模型中,我们的确定性算法自动派生出最大可靠性应力的故障注入活动。本文通过对容错OpenStack云基础设施部署的评估来演示该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependability Stress Testing of Cloud Infrastructures
Modern distributed systems have reached a level of complexity where software bugs and hardware failures are no longer exceptional, but a permanent operational threat. This holds especially for cloud infrastructures, which need to deliver resources to their customers under well-defined service-level agreements. Dependability need to be assessed carefully. This article presents a structured approach for dependability stress testing in a cloud infrastructure. We automatically determine and inject the maximum amount of simultaneous non-fatal errors in different variations. This puts the existing resiliency mechanisms under heavy load, so that they are tested for their effectiveness in corner cases. The starting point is a failure space dependability model of the system. It includes the notion of fault tolerance dependencies, which encode fault-triggering relations between different software layers. From the model, our deterministic algorithm automatically derives fault injection campaigns that maximize dependability stress. The article demonstrates the feasibility of the approach with an assessment of a fault tolerant OpenStack cloud infrastructure deployment.
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