Accelerating Relational Databases by Leveraging Remote Memory and RDMA
Summary: Leverages remote memory via RDMA to augment SMP RDBMS when local RAM is insufficient. Introduces a lightweight remote-memory file API and end-to-end SQL Server integration, enabling remote-memory tiering, caching, and direct data access; delivers 3x–10x throughput/latency for short reads/writes and 2x–100x for TPC-H/DS queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Feng Li (Microsoft)
- 2. Sudipto Das (Microsoft)
- 3. Manoj Syamala (Microsoft)
- 4. Vivek R. Narasayya (Microsoft)
BibTeX Citation
@inproceedings{li_sigmod16,
title = {{Accelerating Relational Databases by Leveraging Remote Memory and RDMA}},
author = {Li, Feng and Das, Sudipto and Syamala, Manoj and Narasayya, Vivek R.},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2882949},
url = {https://dl.acm.org/doi/10.1145/2882903.2882949},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 28 of 28 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 416 | Semantic Data Caching and Replacement | 1996 | VLDB | 0.00018658244 |
| 508 | Adaptive Self-Tuning Memory in DB2 | 2006 | VLDB | 0.00017089907 |
| 889 | Rack-Scale In-Memory Join Processing using RDMA | 2015 | SIGMOD | 0.00013247362 |
| 893 | Albatross: Lightweight Elasticity in Shared Storage Databases for the Cloud using Live Data Migration | 2011 | VLDB | 0.00013220089 |
| 1,028 | High-Speed Query Processing over High-Speed Networks | 2016 | VLDB | 0.00012422084 |
| 1,398 | SSD Bufferpool Extensions for Database Systems | 2010 | VLDB | 0.00010783386 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,657 | Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads | 2021 | SIGMOD |
| 2 | 8,983 | Resource-Adaptive Query Execution with Paged Memory Management | 2025 | CIDR |
| 3 | 1,028 | High-Speed Query Processing over High-Speed Networks | 2016 | VLDB |
| 4 | 3,270 | Rethinking Database High Availability with RDMA Networks | 2019 | VLDB |
| 5 | 889 | Rack-Scale In-Memory Join Processing using RDMA | 2015 | SIGMOD |
| 6 | 13,763 | Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks | 2021 | SIGMOD |
| 7 | 10,074 | Databases in the Era of Memory-Centric Computing | 2025 | CIDR |
| 8 | 4,201 | The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation | 2023 | VLDB |
| 9 | 8,473 | Towards Buffer Management with Tiered Main Memory | 2024 | SIGMOD |
| 10 | 945 | The End of Slow Networks: It's Time for a Redesign | 2016 | VLDB |