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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
5.603281e-05
Overall Rank
7,079 | 52.43%
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 0.00041210636
63 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases 2017 SIGMOD 0.00038521221
189 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.0002585319
543 Socrates: The New SQL Server in the Cloud 2019 SIGMOD 0.00016624903
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
1,135 Dremel: A Decade of Interactive SQL Analysis at Web Scale 2020 VLDB 0.00011886308
1,218 PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database 2018 VLDB 0.00011484231
1,343 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 0.00010959797
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6227952e-05
1,966 Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory 2022 SIGMOD 9.3014925e-05
2,483 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3973995e-05
2,671 Taurus Database: How to be Fast, Available, and Frugal in the Cloud 2020 SIGMOD 8.1464332e-05
2,745 Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation 2021 VLDB 8.0639912e-05
2,875 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.916817e-05
3,136 Rethinking Data Management Systems for Disaggregated Data Centers 2020 CIDR 7.605704e-05
3,152 Eon Mode: Bringing the Vertica Columnar Database to the Cloud 2018 SIGMOD 7.5870936e-05
3,229 Farview: Disaggregated Memory with Operator Off-loading for Database Engines 2022 CIDR 7.5048882e-05
3,520 FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS 2021 VLDB 7.2326541e-05
3,650 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1341445e-05
4,042 Disaggregating RocksDB: A Production Experience 2023 SIGMOD 6.8339773e-05
4,202 The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation 2023 VLDB 6.7343438e-05
4,389 Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA 2023 SIGMOD 6.6202227e-05
7,239 CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure 2024 SIGMOD 5.5761767e-05
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