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arXiv · 2506.06769

Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation

Miryeong Kwon·Donghyun Gouk·Eunjee Na·Jiseon Kim·Junhee Kim·Hyein Woo·Eojin Ryu·Hyunkyu Choi·Jinwoo Baek·Hanyeoreum Bae·Mahmut Kandemir·Myoungsoo Jung
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Abstract

ISP minimizes data transfer for analytics but faces challenges in adaptation and disaggregation. We propose DockerSSD, an ISP model leveraging OS-level virtualization and lightweight firmware to enable containerized data processing directly on SSDs. Key features include Ethernet over NVMe for network-based ISP management and Virtual Firmware for secure, efficient container execution. DockerSSD supports disaggregated storage pools, reducing host overhead and enhancing large-scale services like LLM inference. It achieves up to 2.0x better performance for I/O-intensive workloads, and 7.9x improvement in distributed LLM inference.

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Miryeong Kwon, Donghyun Gouk, Eunjee Na, Jiseon Kim, Junhee Kim, Hyein Woo, Eojin Ryu, Hyunkyu Choi, Jinwoo Baek, Hanyeoreum Bae, Mahmut Kandemir, Myoungsoo Jung. 2025-06-07. Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation. https://arxiv.org/abs/2506.06769

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