The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation
Summary: Argues RDMA-backed memory disaggregation decouples compute and memory, enabling distributed shared‑memory DBs (DSM‑DB) for better utilization, independent scaling, and lower TCO. Maps the revived “shared what” design space and key research issues—consistency, latency, metadata, placement, GC—to motivate DSM‑DB research. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Ruihong Wang (Purdue University)
- 2. Jianguo Wang (Purdue University)
- 3. Stratos Idreos (Harvard University)
- 4. M. Tamer Özsu (University of Waterloo)
- 5. Walid G. Aref (Purdue University)
BibTeX Citation
@article{wang_vldb23,
title = {{The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation}},
author = {Wang, Ruihong and Wang, Jianguo and Idreos, Stratos and Özsu, M. Tamer and Aref, Walid G.},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {1},
pages = {15--22},
doi = {10.14778/3561261.3561263},
url = {https://doi.org/10.14778/3561261.3561263},
year = {2023}
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