RTune-Reference-Cited by-同舟云学术

RTune

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Jin Huijun¹,Lee Jieun¹,Park Sanghyun¹

Affiliation:

1. Yonsei University, Seoul, Korea

Funder

This work was supported by Institute of Information & communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (IITP-2017-0-00477, (SW starlab) Research and development of the high performance in-memory distributed DBMS based on flash memory storage in IoT environment)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528726

Reference31 articles.

1. LSM-Tree Managed Storage for Large-Scale Key-Value Store

2. RocksDB: A persistent key-value store for fast storage environments. Available: https://rocksdb.org. RocksDB: A persistent key-value store for fast storage environments. Available: https://rocksdb.org.

3. The log-structured merge-tree (LSM-tree)

4. Optimization of RocksDB for Redis on Flash

5. Z. Cao , S. Dong , S. Vemuri , and D. H. Du , " Characterizing, modeling, and benchmarking rocksdb key-value workloads at facebook," 18th {USENIX} Conference on File and Storage Technologies ({FAST} 20) , pp. 209 -- 223 . 2020 . Z. Cao, S. Dong, S. Vemuri, and D. H. Du, "Characterizing, modeling, and benchmarking rocksdb key-value workloads at facebook," 18th {USENIX} Conference on File and Storage Technologies ({FAST} 20), pp. 209--223. 2020.

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