TippyDB:地理感知的分布式NoSQL键值存储

I. Setiadi, A. I. Kistijantoro
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引用次数: 1

摘要

在过去几年中,对可扩展数据库的需求迅速增加。研究人员和开发人员已经尝试开发几种技术来在非关系数据库中创建复制和分区。然而,分布式数据中心之间的高延迟给系统性能带来了代价高昂的瓶颈。在本文中,我们提出了一个非关系数据库的系统设计——TippyDB——它为访问我们服务的用户提供了更好的响应时间。我们通过一个重要的观察来增强我们的系统,即人与人之间的互动几乎总是发生在一个有限的地理区域内。我们证明,与其他NoSQL数据库相比,我们的系统在分布式环境中提供了相当大的性能改进。
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TippyDB: Geographically-aware distributed NoSQL Key-Value store
The need of scalable databases has raised rapidly in these past few years. Researchers and developers have tried to develop several techniques to create replications and partitions in non-relational databases. However, high latency between distributed data centers has imposed a costly bottleneck to the system's performance. In this paper, we present a system design for nonrelational database - TippyDB - that provides better response time for users who are accessing our service. We enhance our system with the important observation that interactions between people almost always happen in a limited geographical area. We demonstrate that, in contrast with other NoSQL databases, our system offers a considerable improvement of performance in a distributed environment.
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