LSM tree read-deletion operations optimization through the implementation of cuckoo filters
Abstract This study aims to develop an LSM tree that uses two different kinds of probabilistic data structures (PDS). These two data structures are the Bloom Filters and the state-of-the-art Cuckoo Filter released in 2014 by Fan. Cuckoo filters are a perfect choice for saving space and also for dele...
Saved in:
| Main Authors: | Humberto Cesar Villalta Valverde, KwangSik Kim, Kisu Kim, Jinman Kwon, Jaechoon Lim, Yongjoo Jun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
|
| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01097-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Cuckoo Filter Modification Inspired by Bloom Filter
by: Hananeh Sasaniyan Asl, et al.
Published: (2019-12-01) -
Approximate membership query algorithm for incomplete data based on Bloom filter
by: Wu Jiawen, et al.
Published: (2022-03-01) -
CBFM:cutted Bloom filter matrix for multi-dimensional membership query
by: Yong WANG, et al.
Published: (2016-03-01) -
Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm
by: Ali Muhammad Usman, et al.
Published: (2022-02-01) -
Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things
by: Sultan Basudan, et al.
Published: (2024-01-01)