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Revisiting Computational Storage for Data Integrity and Security

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arxiv 2504.15293 v1 pith:HYDKHBDX submitted 2025-04-12 cs.DC cs.AR

Revisiting Computational Storage for Data Integrity and Security

classification cs.DC cs.AR
keywords csdsstoragecomputationaldataresourcesapplicationavarietycome
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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]).

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