SmartFVM:快速、灵活、可扩展的商用存储硬件虚拟化

Dongup Kwon, Wonsik Lee, Dongryeong Kim, Junehyuk Boo, Jangwoo Kim
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引用次数: 1

摘要

将计算单元集成在其存储单元内部或附近的计算存储设备是一种非常有前途的技术,可以最大限度地提高存储服务器的性能。然而,要在虚拟化环境中应用这些计算存储设备并充分发挥其潜力,服务器架构师必须解决一个基本挑战:经济高效的虚拟化。这一关键挑战可以通过以下问题直接解决:(1)如何虚拟化两个不同的硬件单元(即计算和存储),(2)如何集成它们以构建虚拟计算存储设备,以及(3)如何向用户提供它们。然而,由于缺乏硬件辅助的虚拟化支持,现有的计算存储虚拟化方法存在性能低、成本高的问题。在这项工作中,我们提出了SmartFVM-Engine,一种FPGA卡,旨在最大限度地提高计算存储虚拟化的性能和成本效益。SmartFVM-Engine引入了三个关键思想来实现设计目标。首先,它通过对计算单元和存储单元应用硬件辅助虚拟化来实现高虚拟化性能。其次,它通过为虚拟单元应用硬件辅助的资源编排进一步提高了性能。第三,通过动态构建和调度虚拟计算存储设备,实现了高性价比。据我们所知,这是第一个为现代计算存储设备实现硬件辅助虚拟化机制的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices
A computational storage device incorporating a computation unit inside or near its storage unit is a highly promising technology to maximize a storage server’s performance. However, to apply such computational storage devices and take their full potential in virtualized environments, server architects must resolve a fundamental challenge: cost-effective virtualization. This critical challenge can be directly addressed by the following questions: (1) how to virtualize two different hardware units (i.e., computation and storage), and (2) how to integrate them to construct virtual computational storage devices, and (3) how to provide them to users. However, the existing methods for computational storage virtualization severely suffer from their low performance and high costs due to the lack of hardware-assisted virtualization support. In this work, we propose SmartFVM-Engine, an FPGA card designed to maximize the performance and cost-effectiveness of computational storage virtualization. SmartFVM-Engine introduces three key ideas to achieve the design goals. First, it achieves high virtualization performance by applying hardware-assisted virtualization to both computation and storage units. Second, it further improves the performance by applying hardware-assisted resource orchestration for the virtualized units. Third, it achieves high cost-effectiveness by dynamically constructing and scheduling virtual computational storage devices. To the best of our knowledge, this is the first work to implement a hardware-assisted virtualization mechanism for modern computational storage devices.
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