Real and synthetic data sets for benchmarking key-value stores focusing on various data types and sizes-Reference-Cited by-同舟云学术

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Real and synthetic data sets for benchmarking key-value stores focusing on various data types and sizes

Published:2020-06 Issue: Volume:30 Page:105441
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Kwon Hyuk-Yoon^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference5 articles.

1. LevelDB. Available online:https://github.com/google/leveldb(accessed on 10 September 2019).

2. Facebook. RocksDB: A Persistent Key-Value Store for Fast Storage Environments. Available online:https://rocksdb.org(accessed on 10 September 2019).

3. Oracle Berkeley D.B. Available online:https://www.oracle.com/database/technologies/related/berkeleydb.html(accessed on 10 September 2019).

4. Tweepy: An Easy-To-Use Python Library for Accessing the Twitter API. Available online:https://www.tweepy.org(accessed on 10 February 2020).

5. Constructing a lightweight key-value store based on the windows native features;Kwon;Appl. Sci.,2019

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1. Key-Value Store Coupled with an Operating System for Storing Large-Scale燰alues;Computers, Materials & Continua;2022

2. Moksliniai tyrimai ir inovacijos informatikos moksluose;2021

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