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Ephemeral Partially Replicated Databases

机译:临时部分复制的数据库

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In today's analytics-driven world, fully replicated isolated databases provide much-neededdatabase availability and compute scalability but at the cost of storage scalability, an issue thatis addressed by partially replicated isolated databases. However, a partially replicateddatabase that is optimal at the time of design is soon made inefficient by changing businessneeds, products & services it offers, datasets and query workloads. To this address this issue,we introduce the notion of migration cost as an additional factor that influences the design of apartially replicated databases. In this paper, we formalize the notion of migration cost andpresent a new cost-based objective function to partition and allocate data elements acrossavailable databases. Further, we discuss its implementation in the context of Uber anddemonstrate its effectiveness based on a 10-week simulation study.
机译:在当今的分析驱动世界中,完全复制的隔离数据库提供了急需的数据库可用性和计算可伸缩性,但以存储可伸缩性为代价,部分复制的隔离数据库解决了这个问题。但是,通过更改业务需求,它提供的产品和服务,数据集和查询工作负载,很快使在设计时最佳的部分复制的数据库效率低下。为解决此问题,我们引入了迁移成本的概念,这是影响部分复制数据库设计的另一个因素。在本文中,我们对迁移成本的概念进行了形式化,并提出了一个新的基于成本的目标函数,用于跨可用数据库分区和分配数据元素。此外,我们在为期10周的模拟研究中讨论了它在Uber的实施情况并展示了其有效性。

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