nvme -over- fabric存储分解性能表征

Zvika Guz, Harry Li, A. Shayesteh, V. Balakrishnan
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引用次数: 27

摘要

存储分解将计算和存储分离到不同的节点,从而允许独立的资源扩展,从而更好地利用硬件资源。虽然拆分硬盘驱动器存储是一种常见的做法,但NVMe-SSD(即基于pcie的SSD)拆分被认为更具挑战性。这是因为ssd比硬盘驱动器快得多,因此延迟开销(由于网络和CPU处理)以及卸载堆栈所需的额外计算周期变得更加明显。在这项工作中,我们描述了NVMe-SSD分解的开销。我们展示了nvme -over- fabric (NVMe-oF)——最近发布的远程存储协议规范——将远程访问的开销降低到最低限度,从而大大提高了闪存分解的成本效率。具体来说,虽然最近的研究表明,通过iSCSI进行SSD存储分解会使应用程序级吞吐量降低20%,但我们报告说,在使用压力测试以及更现实的kv存储工作负载时,使用nvme - of的性能降低可以忽略不计。
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Performance Characterization of NVMe-over-Fabrics Storage Disaggregation
Storage disaggregation separates compute and storage to different nodes to allow for independent resource scaling and, thus, better hardware resource utilization. While disaggregation of hard-drives storage is a common practice, NVMe-SSD (i.e., PCIe-based SSD) disaggregation is considered more challenging. This is because SSDs are significantly faster than hard drives, so the latency overheads (due to both network and CPU processing) as well as the extra compute cycles needed for the offloading stack become much more pronounced. In this work, we characterize the overheads of NVMe-SSD disaggregation. We show that NVMe-over-Fabrics (NVMe-oF)—a recently released remote storage protocol specification—reduces the overheads of remote access to a bare minimum, thus greatly increasing the cost-efficiency of Flash disaggregation. Specifically, while recent work showed that SSD storage disaggregation via iSCSI degrades application-level throughput by 20%, we report on negligible performance degradation with NVMe-oF—both when using stress-tests as well as with a more-realistic KV-store workload.
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