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Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases

Summary: First systematic, controllable study of storage-disaggregated DB design choices (Aurora/Socrates/AlloyDB style): isolates effects of disaggregation, log-as-data, shared storage, and log-replay strategies. Open-source PostgreSQL-based prototype enables fine-grained performance attribution across scenarios. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
h2bb60caea878680e
Venue
SIGMOD
Year
2024
Pagerank
5.6049309e-05
Overall Rank
7,079 | 52.41%
DOI
10.1145/3654983

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pang_sigmod24,
        title = {{Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases}},
        author = {Pang, Xi and Wang, Jianguo},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654983},
        url = {https://dl.acm.org/doi/10.1145/3654983},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank Cited Paper Year Venue Pagerank
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038531147
194 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00025636725
543 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.0001663263
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
1,135 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00011891907
1,217 PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database 2018 VLDB 0.00011489607
1,343 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 0.00010963588
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6272006e-05
1,966 Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory 2022 SIGMOD 9.3039057e-05
2,484 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3993882e-05
2,671 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.15025e-05
2,744 Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation 2021 VLDB 8.0677088e-05
2,877 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.9181223e-05
3,135 Rethinking Data Management Systems for Disaggregated Data Centers 2020 CIDR 7.6092468e-05
3,151 Eon Mode: Bringing the Vertica Columnar Database to the Cloud 2018 SIGMOD 7.5906513e-05
3,227 Farview: Disaggregated Memory with Operator Off-loading for Database Engines 2022 CIDR 7.5083649e-05
3,520 FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS 2021 VLDB 7.2360022e-05
3,647 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1375005e-05
4,041 Disaggregating RocksDB: A Production Experience 2023 SIGMOD 6.8371576e-05
4,201 The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation 2023 VLDB 6.7375318e-05
4,387 Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA 2023 SIGMOD 6.6233353e-05
7,241 CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure 2024 SIGMOD 5.5777445e-05
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