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.
@article{arxiv.2506.06769,
title = {Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation},
author = {Miryeong Kwon and Donghyun Gouk and Eunjee Na and Jiseon Kim and Junhee Kim and Hyein Woo and Eojin Ryu and Hyunkyu Choi and Jinwoo Baek and Hanyeoreum Bae and Mahmut Kandemir and Myoungsoo Jung},
journal= {arXiv preprint arXiv:2506.06769},
year = {2025}
}