Rethinking Data Management Systems for Disaggregated Data Centers
Summary: Studies how resource disaggregation—networked pools of CPU, memory, and storage—reshapes relational DBMS design, introducing new locality, latency, and consistency trade-offs. Sketches pros (elasticity, pooling), cons (remote latency, bandwidth contention) and research challenges. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qizhen Zhang (University of Pennsylvania)
- 2. Yifan Cai (Shanghai Jiao Tong University)
- 3. Sebastian Angel (University of Pennsylvania)
- 4. Ang Chen (Rice University)
- 5. Vincent Liu (University of Pennsylvania)
- 6. Boon Thau Loo (University of Pennsylvania)
BibTeX Citation
@inproceedings{zhang_cidr20,
address = {Amsterdam, Netherlands},
series = {{CIDR} '20},
title = {{Rethinking Data Management Systems for Disaggregated Data Centers}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Zhang, Qizhen and Cai, Yifan and Angel, Sebastian and Chen, Ang and Liu, Vincent and Loo, Boon Thau},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 133 | A Case for Redundant Arrays of Inexpensive Disks (RAID) | 1988 | SIGMOD | 0.00030370315 |
| 892 | Rack-Scale In-Memory Join Processing using RDMA | 2015 | SIGMOD | 0.00013376761 |
| 1,076 | High-Speed Query Processing over High-Speed Networks | 2016 | VLDB | 0.00012270109 |
| 1,117 | Accelerating Relational Databases by Leveraging Remote Memory and RDMA | 2016 | SIGMOD | 0.00012108907 |
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