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From Distributed Database to Cloud Database: A Design Perspective

机译:从分布式数据库到云数据库:一种设计视角

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From early 1980s until middle 1990s, over fifteen years, a lot of work done on designing distributed databases for a given set of queries. There were two problems that were addressed (i) fragmentation: reducing irrelevant data accessed by a query, and (ii) allocation: reducing the amount of data transferred between sites for executing a query. Many algorithms were designed and evaluated for fragmentation and allocation. In particular, queries change over time, methodology, algorithms, and policies for when and how to redesign a distributed database was proposed. In the last decade, with the advent of modem database systems supported by columnar stores and Hadoop like cloud database systems, the users have been following ad-hoc or pre-determined database design methodologies. In this work, we present backgrounds of distributed database design and cloud database systems, and propose possible solutions for cloud database design based on fragmentation and allocation solutions.
机译:从1980年代初到1990年代中期,超过15年的时间,为给定的查询集设计分布式数据库已经完成了许多工作。解决了两个问题:(i)碎片:减少查询访问的不相关数据;(ii)分配:减少在执行查询的站点之间传输的数据量。设计和评估了许多算法,用于碎片和分配。特别是,查询随时间,方法,算法和策略的变化而变化,提出了何时以及如何重新设计分布式数据库。在过去的十年中,随着柱状存储和像云数据库系统这样的Hadoop支持的现代数据库系统的出现,用户一直在采用临时或预定的数据库设计方法。在这项工作中,我们介绍了分布式数据库设计和云数据库系统的背景,并提出了基于碎片和分配解决方案的云数据库设计可能的解决方案。

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