SplitDB: Closing the Performance Gap for LSM-Tree-Based Key-Value Stores-Reference-Cited by-同舟云学术

SplitDB: Closing the Performance Gap for LSM-Tree-Based Key-Value Stores

Published:2024-01 Issue:1 Volume:73 Page:206-220
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Cai Miao¹^ORCID,Jiang Xuzhen²^ORCID,Shen Junru²^ORCID,Ye Baoliu³^ORCID

Affiliation:

1. Key Laboratory of Water Big Data Technology of Ministry of Water Resources and the School of Computer and Information, Hohai University, Nanjing, China

2. School of Computer and Information, Hohai University, Nanjing, China

3. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Future Network Scientific Research Fund Project

China Postdoctoral Science Foundation

Jiangsu Planned Projects for Postdoctoral Research Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/10372122/10295418.pdf?arnumber=10295418

Reference37 articles.

1. Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook;Cao,2020

2. Google levelDB.

3. MyRocks

4. Dynamo

5. Cloud-native database systems at Alibaba

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