Containerized In-Storage Processing Model and Hardware Acceleration for Fully-Flexible Computational SSDs

In-storage processing (ISP) efficiently examines large datasets but faces performance and security challenges. We introduce DockerSSD, a flexible ISP model that runs various applications near flash without modification. It employs lightweight OS-level virtualization in modern SSDs for faster ISP and...

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Veröffentlicht in:IEEE computer architecture letters S. 1 - 4
Hauptverfasser: Gouk, Donghyun, Kwon, Miryeong, Bae, Hanyeoreum, Jung, Myoungsoo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 2024
Schlagworte:
Computational modeling
Containers
Data models
Hardware acceleration
Kernel
Microprogramming
Runtime
ISSN:1556-6056, 1556-6064
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In-storage processing (ISP) efficiently examines large datasets but faces performance and security challenges. We introduce DockerSSD, a flexible ISP model that runs various applications near flash without modification. It employs lightweight OS-level virtualization in modern SSDs for faster ISP and better storage intelligence with a high flexiblity. DockerSSD reuses existing Docker container images for real-time data processing without altering the storage interface or runtime. Our design includes a new communication method and virtual firmware, alongside automated container-related network and I/O handling hardware. DockerSSD achieves a 2× speed improvement and reduces system-level power by 35.7%, on average.
ISSN:1556-6056
1556-6064
DOI:10.1109/LCA.2023.3289828