Junehyuk Boo 부준혁

@article{kwon2022smartfvm,
author = {Kwon, Dongup and Lee, Wonsik and Kim, Dongryeong and Boo, Junehyuk and Kim, Jangwoo},
title = {SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices},
year = {2022},
issue_date = {May 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {18},
number = {2},
issn = {1553-3077},
url = {https://doi.org/10.1145/3511213},
doi = {10.1145/3511213},
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.},
journal = {ACM Trans. Storage},
month = apr,
articleno = {12},
numpages = {27},
keywords = {Computational storage}
}

@inproceedings{kwon2021flexcsv,
author = {Dongup Kwon and Dongryeong Kim and Junehyuk Boo and Wonsik Lee and Jangwoo Kim},
title = {A Fast and Flexible Hardware-based Virtualization Mechanism for Computational Storage Devices},
booktitle = {2021 USENIX Annual Technical Conference (USENIX ATC 21)},
year = {2021},
isbn = {978-1-939133-23-6},
pages = {729--743},
url = {https://www.usenix.org/conference/atc21/presentation/kwon},
publisher = {USENIX Association},
month = jul
}

@inproceedings{kwon2020fvm,
author = {Dongup Kwon and Junehyuk Boo and Dongryeong Kim and Jangwoo Kim},
title = {FVM: FPGA-assisted Virtual Device Emulation for Fast, Scalable, and Flexible Storage Virtualization},
booktitle = {14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20)},
year = {2020},
isbn = {978-1-939133-19-9},
pages = {955--971},
url = {https://www.usenix.org/conference/osdi20/presentation/kwon},
publisher = {USENIX Association},
month = nov
}