最终一致性:最终是多久?对Amazon S3的一致性行为进行评估

David Bermbach, S. Tai
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引用次数: 152

摘要

在过去的几年里,云存储系统和所谓的NoSQL数据存储被广泛采用。与传统数据库相比,这些存储系统通常会牺牲一致性,以支持CAP定理所要求的延迟和可用性,因此它们只能保证最终的一致性。现有的对这些存储系统进行基准测试的方法通常会忽略一致性维度,或者没有研究一致性保证的可能性。在这项工作中,我们提出了一种新的方法来对分布式数据存储中的过时性进行基准测试,并使用该方法来评估Amazon的简单存储服务(S3)。我们报道我们的意外发现。
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Eventual consistency: How soon is eventual? An evaluation of Amazon S3's consistency behavior
Over the last few years, Cloud storage systems and so-called NoSQL datastores have found widespread adoption. In contrast to traditional databases, these storage systems typically sacrifice consistency in favor of latency and availability as mandated by the CAP theorem, so that they only guarantee eventual consistency. Existing approaches to benchmark these storage systems typically omit the consistency dimension or did not investigate eventuality of consistency guarantees. In this work we present a novel approach to benchmark staleness in distributed datastores and use the approach to evaluate Amazon's Simple Storage Service (S3). We report on our unexpected findings.
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