Lightweight Cardinality Estimation in LSM-based Systems

Author:

Absalyamov Ildar1,Carey Michael J.2,Tsotras Vassilis J.1

Affiliation:

1. University of California, Riverside, Riverside, CA, USA

2. University of California, Irvine, Irvine, CA, USA

Funder

NSF

Publisher

ACM

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applications and Challenges for Large Language Models: From Data Management Perspective;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Determining Exact Quantiles with Randomized Summaries;Proceedings of the ACM on Management of Data;2024-03-12

3. Towards flexibility and robustness of LSM trees;The VLDB Journal;2024-01-11

4. Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads;Proceedings of the ACM on Management of Data;2023-11-13

5. Learning Autoregressive Model in LSM-Tree based Store;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

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