Tidal-Tree-Mem: Toward Read-Intensive Key-Value Stores With Tidal Structure Based on LSM-Tree-Reference-Cited by-同舟云学术

Tidal-Tree-Mem: Toward Read-Intensive Key-Value Stores With Tidal Structure Based on LSM-Tree

Published:2023-02 Issue:2 Volume:42 Page:423-436
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Ma Chenlin¹^ORCID,Yang Hao¹,Wu Shangyu²^ORCID,Wang Yi¹^ORCID,Mao Rui³^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong

3. College of Computer Science and Software Engineering and the Shenzhen Institute of Computing Sciences, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10021949/09780599.pdf?arnumber=9780599

Reference33 articles.

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2. Co-Optimizing Storage Space Utilization and Performance for Key-Value Solid State Drives

3. KVSSD: Close integration of LSM trees and flash translation layer for write-efficient KV store;wu;Proc Design and Test in Europe (DATE) Conf,2018

4. Redesigning LSMs for nonvolatile memory with NoveLSM;kannan;Proc Conf File Storage Technol (FAST),2018

5. ElasticBF: Fine-grained and elastic bloom filter towards efficient read for LSM-tree-based KV stores;zhang;Proc Hot Topics Storage File Syst (HotStorage),2018

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