Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn
Summary: Design continuums: a unifying parametric model that represents B+/B‑/LSM/LSH and synthesizes new KV data layouts as views in one design space. Enables near‑instant inference of performance and optimal designs, enabling self‑designing, workload‑adaptive KV stores. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stratos Idreos (Harvard University)
- 2. Niv Dayan (Harvard University)
- 3. Wilson Qin (Harvard University)
- 4. Mali Akmanalp (Harvard University)
- 5. Sophie Hilgard (Harvard University)
- 6. Andrew Ross (Harvard University)
- 7. James Lennon (Harvard University)
- 8. Varun Jain (Harvard University)
- 9. Harshita Gupta (Harvard University)
- 10. David Li (Harvard University)
- 11. Zichen Zhu (Harvard University)
BibTeX Citation
@inproceedings{idreos_cidr19,
address = {Amsterdam, Netherlands},
series = {{CIDR} '19},
title = {{Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Idreos, Stratos and Dayan, Niv and Qin, Wilson and Akmanalp, Mali and Hilgard, Sophie and Ross, Andrew and Lennon, James and Jain, Varun and Gupta, Harshita and Li, David and Zhu, Zichen},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
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