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Hop: Elastic Consistency for Exascale Data Stores

机译:Hop:Exascale数据存储的弹性一致性

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Distributed key-value stores are a scalable alternative for relational databases and file systems. Different systems try to provide the right balance between scalability, consistency and reliability for a certain category of applications. Yet many applications don't have a single static set of requirements for all the data they create and use. In order to meet different requirements, the applications end up using multiple data stores, each with its own interface, or suffer the unnecessary performance degradation. This paper describes Hop, our attempt to define an interface that allows specification of different consistency and replication levels, and by allowing the assembly of different implementations of the interface, provides the right balance of consistency, scalability and availability for different parts of application data. We describe the Hop interface and evaluate some of the implementations we created, as well as how they can be combined to provide flexible distributed deployments.
机译:分布式键值存储是关系数据库和文件系统的可伸缩替代方案。对于某些类别的应用程序,不同的系统尝试在可伸缩性,一致性和可靠性之间实现适当的平衡。但是,许多应用程序对它们创建和使用的所有数据并没有一组静态的要求。为了满足不同的需求,应用程序最终使用多个数据存储,每个数据存储都有自己的接口,否则会导致不必要的性能下降。本文描述了Hop,我们试图定义一个接口,该接口允许指定不同的一致性和复制级别,并允许通过组装接口的不同实现,从而为应用程序数据的不同部分提供了一致性,可伸缩性和可用性之间的适当平衡。我们描述了Hop接口并评估了我们创建的一些实现,以及如何将它们组合起来以提供灵活的分布式部署。

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