Flash storage disaggregation
Flash storage disaggregation
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DOI：
10.1145/2901318.2901337
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发表时间：
2016-04
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影响因子：
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通讯作者：
Ana Klimovic;Christos Kozyrakis;Eno Thereska;Binu John;Sanjeev Kumar
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文献类型：
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作者：
Ana Klimovic;Christos Kozyrakis;Eno Thereska;Binu John;Sanjeev Kumar
基于PCIe的闪存通常用于为数据中心应用程序提供高IO速率。然而，它的容量和带宽往往未得到充分利用，因为很难在一段时间内为多个应用程序设计具有适当平衡的CPU、内存和闪存资源的服务器。这项工作考察了闪存分解作为处理闪存过度调配的一种方法。我们通过商用网络调整对闪存的远程访问，并分析其对从真实数据中心应用程序中采样的工作负载的影响。我们发现，虽然远程闪存访问在应用程序级别引入了20%的吞吐量下降，但分解使我们能够通过资源高效型横向扩展来弥补这些开销。因此，我们展示了闪存分解允许以经济高效的方式独立扩展CPU和闪存资源。我们使用我们的分析得出有关远程存储中的数据和控制平面问题的结论。
PCIe-based Flash is commonly deployed to provide datacenter applications with high IO rates. However, its capacity and bandwidth are often underutilized as it is difficult to design servers with the right balance of CPU, memory and Flash resources over time and for multiple applications. This work examines Flash disaggregation as a way to deal with Flash overprovisioning. We tune remote access to Flash over commodity networks and analyze its impact on workloads sampled from real datacenter applications. We show that, while remote Flash access introduces a 20% throughput drop at the application level, disaggregation allows us to make up for these overheads through resource-efficient scale-out. Hence, we show that Flash disaggregation allows scaling CPU and Flash resources independently in a cost effective manner. We use our analysis to draw conclusions about data and control plane issues in remote storage.