Open Access
Issue
JNWPU
Volume 42, Number 2, April 2024
Page(s) 303 - 309
DOI https://doi.org/10.1051/jnwpu/20244220303
Published online 30 May 2024
  1. LU W, ZHAO Z H, WANG X Y, et al. A lightweight and efficient temporal database management system in TDSQL[J]. Proceedings of the VLDB Endowment, 2019, 12(12): 2035–2046. [Article] [Google Scholar]
  2. O'NEIL P, CHENG E, GAWLICK D, et al. The log-structured merge-tree(LSM-tree)[J]. Acta Informatica, 1996, 33: 351–385. [Article] [Google Scholar]
  3. HUANG D, LIU Q, CUI Q, et al. TiDB: a raft-based HTAP database[J]. Proceedings of the VLDB Endowment, 2020, 13(12): 3072–3084. [Article] [Google Scholar]
  4. YANG Z, YANG C, HAN F, et al. OceanBase: a 707 million tpmC distributed relational database system[J]. Proceedings of the VLDB Endowment, 2022, 15(12): 3385–3397. [Article] [Google Scholar]
  5. LUO C, CAREY M J. LSM-based storage techniques: a survey[J]. The International Journal on Very Large Data Bases, 2020, 29(1): 393–418. [Article] [Google Scholar]
  6. YAN B, CHENG X, JIANG B, et al. Revisiting the design of LSM-tree based OLTP storage engine with persistent memory[J]. Proceedings of the VLDB Endowment, 2021, 14(10): 1872–1885. [Article] [Google Scholar]
  7. SARKAR S, STARATZIS D, ZHU Z, et al. Constructing and analyzing the LSM compaction design space[J]. Proceedings of the VLDB Endowment, 2021, 14(11): 2216–2229. [Article] [Google Scholar]
  8. BINDSCHAEDLER L, GOEL A, ZWAENEPOEL W. Hailstorm: disaggregated compute and storage for distributed LSM-based databases[C]//Proceedings of the 25th International Conference on Architectural Support for Programming Languages and Operating Systems, 2020: 301–316 [Google Scholar]
  9. HUANG H, GHANDEHARIZADEH S. Nova-LSM: a distributed, component-based LSM-tree key-value store[C]//Proceedings of the 2021 International Conference on Management of Data, 2021 [Google Scholar]
  10. DAYAN N, WEISS T, DASHEVSKY S, et al. Spooky: granulating LSM-tree compactions correctly[J]. Proceedings of the VLDB Endowment, 2022, 15(11): 3071–3084. [Article] [Google Scholar]
  11. ZHANG Chenyu, LIU Wenjie, PANG Tianze, et al. Optimization of correlate subquery based on distributed database[J]. Journal of Northwestern Polytechnical University, 2021, 39(4): 909–918. [Article] (in Chinese) [Google Scholar]
  12. JING Changhong, LIU Wenjie, GAO Jintao, et al. Research and implementation of HTAP for distributed database[J]. Journal of Northwestern Polytechnical University, 2021, 39(2): 430–438. [Article] (in Chinese) [Google Scholar]
  13. LIU Wenjie, LI Jianbo, LI Zhanhuai, et al. A massire distribnted relational database for financial application[J]. Journal of Huazhong University of Science and Technology, 2019, 47(2): 121–126. [Article] (in Chinese) [Google Scholar]
  14. DAYAN N, IDREOS S. Dostoevsky: better space-time trade-offs for LSM-tree based key-value stores via adaptive removal of superfluous merging[C]//Proceedings of the 2018 International Conference on Management of Data, 2018 [Google Scholar]
  15. RAJU P, KADEKODI R, CHIDAMBARAM V, et al. Pebblesdb: building key-value stores using fragmented log-structured merge trees[C]//Proceedings of the 26th Symposium on Operating Systems Principles, 2017 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.