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DDS: DPU-optimized Disaggregated Storage

Summary: DDS is a DPU-optimized disaggregated-storage architecture that pipelines DMA/zero-copy/userspace I/O and a DPU offload engine to execute client requests directly on DPUs, minimizing host CPU involvement while requiring minimal DBMS API changes. In practice DDS boosts throughput, cuts latency by ~10×, and saves tens of host CPU cores per storage server. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13543
Venue
VLDB
Year
2024
Pagerank
4.4874893e-05
Overall Rank
8,602 | 40.16%
DOI
10.14778/3681954.3682002

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,456 DPDPU: Data Processing with DPUs 2025 CIDR 4.3385595e-05
9,923 DFlush: DPU-Offloaded Flush for Disaggregated LSM-based Key-Value Stores 2025 SIGMOD 4.2545552e-05
10,856 Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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