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On the Cost of Database Clusters Reconfiguration

机译：关于数据库群集重新配置的成本

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Database clusters based on share-nothing replication techniques are currently widely accepted as a practical solution to scalability and availability of the data tier. A key issue when planning such systems is the ability to meet service level agreements when load spikes occur or cluster nodes fail. This translates into the ability to provision and deploy additional nodes. Many current research efforts focus on designing autonomic controllers to perform such reconfiguration, tuned to quickly react to system changes and spawn new replicas based on resource usage and performance measurements. In contrast, we are concerned about the inherent impact of deploying an additional node to an online cluster, considering both the time required to finish such an action as well as the impact on resource usage and performance of the cluster as a whole. If noticeable, such impact hinders the practicability of self-management techniques, since it adds an additional dimension that has to be accounted for. Our approach is to systematically benchmark a number of different reconfiguration scenarios to assess the cost of bringing a new replica online. We consider factors such as: workload characteristics, incremental and parallel recovery, flow control and outdatedness of the recovering replica. As a result, we show that research should be refocused from optimizing the capture and transmition of changes to applying them, which in a realistic setting dominates the cost of the recovery operation.
机译：基于共享除非复制技术的数据库群集目前被广泛被广泛接受为数据层的可扩展性和可用性的实际解决方案。规划此类系统的关键问题是当加载尖峰发生或群集节点失败时会满足服务级别协议的能力。这转化为提供和部署其他节点的能力。许多目前的研究努力专注于设计自主控制器来执行这种重新配置，调整以便快速对系统变化进行反应，并根据资源使用和性能测量产生新的副本。相比之下，我们担心将附加节点部署到在线群集的固有影响，考虑完成完成此类动作所需的时间以及整个群集的资源使用和性能的影响。如果有明确的话，这种影响会阻碍自我管理技术的实用性，因为它增加了必须考虑的额外维度。我们的方法是系统地将许多不同的重新配置方案进行基准，以评估在线带来新副本的成本。我们考虑因素：恢复副本的工作负载特性，增量和并行恢复，流量控制和过时性。因此，我们表明应该从优化应用程序的捕获和传输时重新分段为应用它们，这在恢复运行的成本中，应从优化捕获和传输的变化中进行。

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