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Online Scaling in a Highly Available Database

机译:在高可用数据库中在线缩放

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An increasing number of database applications demands high availability combined with online scalability and soft real-time transaction response. This means that scaling must be done online and non-blocking. This paper extends the primary/hot standby approach to high availability with online scaling operations. The challenges are to do this without degrading the response time and throughput of transactions and to support high availability throughout the scaling period. We measure the impact of online scaling on response time and throughput using different scheduling schemes. We also show some of the recovery problems that appear in this setting.
机译:越来越多的数据库应用程序需要高可用性,结合在线可伸缩性和软实时事务响应。这意味着缩放必须在线完成并非阻塞。本文将主要/热备用方法扩展到具有在线缩放操作的高可用性。挑战是在不降低交易的响应时间和吞吐量的情况下进行这一点,并在整个缩放期间支持高可用性。我们使用不同的调度方案测量在线扩展对响应时间和吞吐量的影响。我们还显示了此设置中出现的一些恢复问题。

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