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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.15293 |
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| _version_ | 1866916701365338112 |
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| author | Shi, Chao Manschula, Anthony Mahmud, Tabassum Yang, Zeren Zheng, Mai Chen, Yong Wayda, Jim Wolf, Matthew Bang, Byungwoo |
| author_facet | Shi, Chao Manschula, Anthony Mahmud, Tabassum Yang, Zeren Zheng, Mai Chen, Yong Wayda, Jim Wolf, Matthew Bang, Byungwoo |
| contents | The idea of computational storage device (CSD) has come a long way since at least 1990s [1], [2]. By embedding computing resources within storage devices, CSDs could potentially offload computational tasks from CPUs and enable near-data processing (NDP), reducing data movements and/or energy consumption significantly. While the initial hard-disk-based CSDs suffer from severe limitations in terms of on-drive resources, programmability, etc., the storage market has witnessed the commercialization of solid-state-drive (SSD) based CSDs (e.g., Samsung SmartSSD [3], ScaleFlux CSDs [4]) recently, which has enabled CSD-based optimizations for avariety of application scenarios (e.g., [5], [6], [7]). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_15293 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Revisiting Computational Storage for Data Integrity and Security Shi, Chao Manschula, Anthony Mahmud, Tabassum Yang, Zeren Zheng, Mai Chen, Yong Wayda, Jim Wolf, Matthew Bang, Byungwoo Distributed, Parallel, and Cluster Computing Hardware Architecture The idea of computational storage device (CSD) has come a long way since at least 1990s [1], [2]. By embedding computing resources within storage devices, CSDs could potentially offload computational tasks from CPUs and enable near-data processing (NDP), reducing data movements and/or energy consumption significantly. While the initial hard-disk-based CSDs suffer from severe limitations in terms of on-drive resources, programmability, etc., the storage market has witnessed the commercialization of solid-state-drive (SSD) based CSDs (e.g., Samsung SmartSSD [3], ScaleFlux CSDs [4]) recently, which has enabled CSD-based optimizations for avariety of application scenarios (e.g., [5], [6], [7]). |
| title | Revisiting Computational Storage for Data Integrity and Security |
| topic | Distributed, Parallel, and Cluster Computing Hardware Architecture |
| url | https://arxiv.org/abs/2504.15293 |