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Towards Transactional Data Management over the Cloud

机译:迈向云端交易数据管理

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We propose a consistency model for a data store in the Cloud and develop a framework towards the goal of deploying Database as a Service over the Cloud. This includes consistency across the data partitions and consistency of any replicas that exist across different nodes in the system. We target applications which need stronger consistency guarantees than the applications currently supported by the data stores on the Cloud. We propose a cost-effective algorithm that ensures distributed consistency of data without really compromising on availability for fully replicated data. This paper describes a design in progress, presents the consistency and recovery algorithms for relational data, highlights the guarantees provided by the system and presents future research challenges. We believe that the current notions of consistency for databases might not be applicable over the Cloud and a new formulation of the consistency concept may be needed keeping in mind the application classes that need to be supported.
机译:我们为云中的数据存储提出了一个一致性模型,并为实现在云上部署数据库即服务的目标而开发了一个框架。这包括跨数据分区的一致性以及跨系统中不同节点存在的所有副本的一致性。我们针对需要比Cloud数据存储当前支持的应用程序更强的一致性保证的应用程序。我们提出了一种经济高效的算法,可确保数据的分布式一致性,而又不会真正损害完全复制的数据的可用性。本文介绍了一个正在进行的设计,介绍了关系数据的一致性和恢复算法,重点介绍了系统提供的保证,并提出了未来的研究挑战。我们认为,数据库的当前一致性概念可能不适用于Cloud,并且可能需要考虑到需要支持的应用程序类,对一致性概念进行新的表述。

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