Towards Buffer Management with Tiered Main Memory

Summary: Systematic study of tiered memory buffer management in DBMS; evaluating five indexing designs that leverage remote memory (RDMA/CXL). Proposes a provisioning strategy for local/remote memory; results show trade-offs and no single design dominates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h7a4746852ab33d27
Venue: SIGMOD
Year: 2024
Pagerank: 5.315377e-05
Overall Rank: 8,437 | 43.45%
DOI: 10.1145/3639286

Incoming Non-self Citations Over Time

Authors

1. Xiangpeng Hao (University of Wisconsin)
2. Xinjing Zhou (Massachusetts Institute of Technology)
3. Xiangyao Yu (University of Wisconsin)
4. Michael Stonebraker (Massachusetts Institute of Technology)

BibTeX Citation

@inproceedings{hao_sigmod24,
        title = {{Towards Buffer Management with Tiered Main Memory}},
        author = {Hao, Xiangpeng and Zhou, Xinjing and Yu, Xiangyao and Stonebraker, Michael},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639286},
        url = {https://dl.acm.org/doi/10.1145/3639286},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,225	LeanStore: A High-Performance Storage Engine for NVMe SSDs	2024	VLDB	6.2100105e-05
6,500	Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index	2024	VLDB	5.7478171e-05
7,965	Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases	2025	SIGMOD	5.4007864e-05
8,596	Practical DB-OS Co-Design with Privileged Kernel Bypass	2025	SIGMOD	5.2926896e-05
8,775	CXL Memory Performance for In-Memory Data Processing	2025	VLDB	5.2678044e-05
10,119	LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics	2025	VLDB	5.0638787e-05

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
342	THE 5 MINUTE RULE FOR TRADING MEMORY FOR DISC ACCESSES and THE 10 BYTE RULE FOR TRADING MEMORY FOR CPU TIME	1987	SIGMOD	0.00020487166
729	Anti-Caching: A New Approach to Database Management System Architecture	2013	VLDB	0.00014393711
865	Let’s Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems	2015	SIGMOD	0.00013346121
885	Rack-Scale In-Memory Join Processing using RDMA	2015	SIGMOD	0.00013222753
1,048	Accelerating Relational Databases by Leveraging Remote Memory and RDMA	2016	SIGMOD	0.00012302514
1,288	Managing Non-Volatile Memory in Database Systems	2018	SIGMOD	0.00011172386
1,315	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	0.00011047549
1,349	The End of a Myth: Distributed Transactions Can Scale	2017	VLDB	0.00010940559
1,370	Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks	2019	SIGMOD	0.00010875068
1,523	Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database	2014	VLDB	0.00010338554
1,974	Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory	2022	SIGMOD	9.2725837e-05
2,039	Efficient Distributed Memory Management with RDMA and Caching	2018	VLDB	9.1328154e-05
2,352	Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs	2020	VLDB	8.5790132e-05
2,654	Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation	2021	VLDB	8.1466759e-05
3,816	ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA	2022	SIGMOD	6.9852219e-05
4,182	Spitfire: A Three-Tier Buffer Manager for Volatile and Non-Volatile Memory	2021	SIGMOD	6.7432523e-05
4,309	Redy: Remote Dynamic Memory Cache	2022	VLDB	6.6574435e-05
5,180	Are You Sure You Want to Use MMAP in Your Database Management System?	2022	CIDR	6.2257186e-05
6,805	CompuCache: Remote Computable Caching using Spot VMs	2022	CIDR	5.6612739e-05
8,091	Two is Better Than One: The Case for 2-Tree for Skewed Data Sets	2023	CIDR	5.3744333e-05

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