Blazes

P. Alvaro, Neil Conway, Joseph M. Hellerstein, D. Maier
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引用次数: 6

Abstract

Distributed consistency is perhaps the most-discussed topic in distributed systems today. Coordination protocols can ensure consistency, but in practice they cause undesirable performance unless used judiciously. Scalable distributed architectures avoid coordination whenever possible, but under-coordinated systems can exhibit behavioral anomalies under fault, which are often extremely difficult to debug. This raises significant challenges for distributed system architects and developers. In this article, we present Blazes, a cross-platform program analysis framework that (a) identifies program locations that require coordination to ensure consistent executions, and (b) automatically synthesizes application-specific coordination code that can significantly outperform general-purpose techniques. We present two case studies, one using annotated programs in the Twitter Storm system and another using the Bloom declarative language.
大火
分布式一致性可能是当今分布式系统中讨论最多的话题。协调协议可以确保一致性,但在实践中,除非谨慎使用,否则它们会导致不理想的性能。可伸缩的分布式体系结构尽可能地避免协调,但是协调不足的系统可能在故障下表现出行为异常,这通常是极其难以调试的。这对分布式系统架构师和开发人员提出了重大挑战。在本文中,我们介绍了Blazes,这是一个跨平台的程序分析框架,它(a)识别需要协调以确保一致执行的程序位置,并且(b)自动合成特定于应用程序的协调代码,可以显著优于通用技术。我们提出了两个案例研究,一个使用Twitter Storm系统中的注释程序,另一个使用Bloom声明性语言。
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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