Automated Tiering in a QoS Environment Using Coarse Data
Automated Tiering in a QoS Environment Using Coarse Data
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使用粗略数据在 QoS 环境中自动分层
DOI：
10.1109/hpcc.and.euc.2013.145
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
E. Bachmat
中科院分区：
文献类型：
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作者：
Gal Lipetz;E. Hazan;Assaf Natanzon;E. Bachmat
我们提出了一种为具有服务质量需求的存储阵列提供自动化性能管理的方法。我们的方法动态配置应用程序数据到异构存储设备，考虑到不同的应用程序的响应时间目标。优化过程使用广泛可用的粗略计数器统计信息。我们使用存储系统组件的分析建模和梯度下降机制来最小化目标函数。我们验证了我们的优化过程中使用的痕迹从真实的生产系统的有效性，并表明，我们的方法提高了更重要的应用程序的性能，可以这样做，只使用粗糙的统计。我们的研究结果表明，不考虑QoS要求的优化过程中，首选的应用程序有很大的改善。我们还提出了证据的复杂行为的真实的生产存储系统，这必须考虑到在优化过程中。
We present a method for providing automated performance management for a storage array with quality of service demands. Our method dynamically configures application data to heterogeneous storage devices, taking into account response time targets for the different applications. The optimization process uses widely available coarse counter statistics. We use analytical modeling of the storage system components and a gradient descent mechanism to minimize the target function. We verify the effectiveness of our optimization procedure using traces from real production systems, and show that our method improves the performance of the more significant applications, and can do so using only the coarse statistics. Our results show substantial improvements for preferred applications over an optimization procedure which does not take QoS requirements into account. We also present evidence of the complex behavior of real production storage systems, which has to be taken into account in the optimization process.