CacheServer: Disaggregated Caching for Cloud Databases

Summary: CacheServer decouples caching from query execution with dedicated cache nodes, preserving locality across schedulers while avoiding hot-data stragglers. Overlapped prefetching and budget-aware cache/compute allocation reduce average and tail latency by 2–10×. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID: h7a0c6d1ec4181fbc
Venue: SIGMOD
Year: 2027
Pagerank: 4.9605343e-05
Overall Rank: 10,387 | 30.38%
DOI: 10.1145/3837102
PDF: Download (CC BY 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Junyong Zhao (University of Arizona)
2. Jia Yuan (University of Arizona)
3. Lei Cao (University of Arizona)

BibTeX Citation

@inproceedings{zhao_sigmod27,
        title = {{CacheServer: Disaggregated Caching for Cloud Databases}},
        author = {Zhao, Junyong and Yuan, Jia and Cao, Lei},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837102},
        url = {https://dl.acm.org/doi/10.1145/3837102},
        year = {2027}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
23	Spark SQL: Relational Data Processing in Spark	2015	SIGMOD	0.00055523999
52	The Snowflake Elastic Data Warehouse	2016	SIGMOD	0.00041439488
63	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	2017	SIGMOD	0.00038609177
106	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD	0.00033563032
226	Amazon Redshift and the Case for Simpler Data Warehouses	2015	SIGMOD	0.0002389883
651	Amazon Redshift Re-invented	2022	SIGMOD	0.00015126716
1,048	Accelerating Relational Databases by Leveraging Remote Memory and RDMA	2016	SIGMOD	0.00012302514
1,315	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	0.00011047549
1,387	Procella: Unifying serving and analytical data at YouTube	2019	VLDB	0.0001080904
1,392	Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes	2018	SIGMOD	0.00010787433
1,687	POLARIS: The Distributed SQL Engine in Azure Synapse	2020	VLDB	9.8500167e-05
1,791	Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet	2024	VLDB	9.6212919e-05
2,181	Fuxi: a Fault-Tolerant Resource Management and Job Scheduling System at Internet Scale	2014	VLDB	8.9007414e-05
2,654	Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation	2021	VLDB	8.1466759e-05
2,831	F1 Query: Declarative Querying at Scale	2018	VLDB	7.945337e-05
2,878	Choosing A Cloud DBMS: Architectures and Tradeoffs	2019	VLDB	7.8955094e-05
3,173	Rethinking Database High Availability with RDMA Networks	2019	VLDB	7.5552708e-05
3,404	FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS	2021	VLDB	7.3212594e-05
4,044	The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation	2023	VLDB	6.820171e-05
5,210	Crystal: A Unified Cache Storage System for Analytical Databases	2021	VLDB	6.2142008e-05
9,361	Databases in the Era of Memory-Centric Computing	2025	CIDR	5.174177e-05

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