Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 226,160,435 papers from all fields of science
Search
Sign In
Create Free Account
Log-structured merge-tree
Known as:
LSM
, LSM-tree
, Log-structured merge tree
In computer science, the log-structured merge-tree (or LSM tree) is a data structure with performance characteristics that make it attractive for…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
12 relations
Apache Cassandra
Computer science
Data structure
Database index
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
TLSM: Tiered Log-Structured Merge-Tree Utilizing Non-Volatile Memory
Jihwan Lee
,
W. Choi
,
Doyoung Kim
,
Hanseung Sung
,
Sanghyun Park
IEEE Access
2020
Corpus ID: 216218255
Log-Structured Merge-tree (LSM-tree) organizes write-friendly and hierarchical structure, which leads to inevitable disk I/O from…
Expand
2019
2019
Fault-tolerant precise data access on distributed log-structured merge-tree
Tao Zhu
,
Huiqi Hu
,
Weining Qian
,
Huan Zhou
,
Aoying Zhou
Frontiers of Computer Science
2019
Corpus ID: 53281768
Log-structured merge tree has been adopted by many distributed storage systems. It decomposes a large database into multiple…
Expand
2019
2019
IsoKV: An Isolation Scheme for Key-Value Stores by Exploiting Internal Parallelism in SSD
Heerak Lim
,
Hwajung Kim
,
Kihyeon Myung
,
H. Yeom
,
Yongseok Son
International Conference on High Performance…
2019
Corpus ID: 211208924
Modern data centers aim to take advantage of high parallelism in storage devices for I/O intensive applications such as storage…
Expand
2018
2018
Splaying Log-Structured Merge-Trees
Thomas Lively
,
Luca Schroeder
,
Carlos Mendizábal
SIGMOD Conference
2018
Corpus ID: 44112636
Modern persistent key-value stores typically use a log-structured merge-tree (LSM-tree) design, which allows for high write…
Expand
2018
2018
HyperPebblesDB : An Enhanced Fragmented Log-Structured Merge Trees
Zeyuan Hu
,
Wei Sun
,
Jianwei Chen
2018
Corpus ID: 52221405
Log-structured Merge Tree (LSM) [17] is a data structure that is widely used in write-intensive storage system. However, it…
Expand
2018
2018
Replica-Group Leadership Change as a Performance Enhancing Mechanism in NoSQL Data Stores
Antonis Papaioannou
,
K. Magoutis
IEEE International Conference on Distributed…
2018
Corpus ID: 50768125
In this paper we investigate replica-group reconfiguration as a way to mask performance bottlenecks on the primary node of a…
Expand
2017
2017
Collecting massive amounts of location data in a NoSQL database - Identifying best practices for high write throughput
K. Midtgård
2017
Corpus ID: 64673750
The amount of internet-connected devices is rapidly expanding. Embedded with various sensors, these devices are generating ever…
Expand
2016
2016
Re-enabling high-speed caching for LSM-trees
Lei Guo
,
Dejun Teng
,
Rubao Lee
,
Feng Chen
,
Siyuan Ma
,
Xiaodong Zhang
arXiv.org
2016
Corpus ID: 2509275
LSM-tree has been widely used in cloud computing systems by Google, Facebook, and Amazon, to achieve high performance for write…
Expand
2014
2014
MPSearch: Multi-Path Search for Tree-based Indexes to Exploit Internal Parallelism of Flash SSDs
Hongchan Roh
,
Sanghyun Park
,
Mincheol Shin
,
Sang-Won Lee
IEEE Data Engineering Bulletin
2014
Corpus ID: 10936428
Big data real-time processing aims for faster retrieval of data and analysis. Lately, in order to accelerate real-time processing…
Expand
2014
2014
Optimizing key-value stores for hybrid storage architectures
Prashanth Menon
,
T. Rabl
,
Mohammad Sadoghi
,
H. Jacobsen
Conference of the Centre for Advanced Studies on…
2014
Corpus ID: 17238851
Flash-based solid state drives (SSDs) are increasingly becoming a popular choice as a storage device within database management…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE