SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices

Author:

Kwon Dongup1ORCID,Lee Wonsik1ORCID,Kim Dongryeong1ORCID,Boo Junehyuk1ORCID,Kim Jangwoo1ORCID

Affiliation:

1. Seoul National University, Gwanak-gu, Seoul, Republic of Korea

Abstract

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.

Funder

Samsung Electronics, National Research Foundation of Korea (NRF) funded by the Korean Government

Institute of Information & Communications Technology Planning & Evaluation funded by the Korean Government

Creative Pioneering Researchers Program through Seoul National University

Automation and Systems Research Institute (ASRI) and Inter-university Semiconductor Research Center at Seoul National University

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

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