Cargando…
Real and synthetic data sets for benchmarking key-value stores focusing on various data types and sizes
In this article, we present real and synthetic data sets for benchmarking key-values stores. Here, we focus on various data types and sizes. Key-value pairs in key-value data sets consist of the key and the value. We can construct any kinds of data as key-value data sets by assigning an arbitrary ty...
Autor principal: | Kwon, Hyuk-Yoon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160529/ https://www.ncbi.nlm.nih.gov/pubmed/32322613 http://dx.doi.org/10.1016/j.dib.2020.105441 |
Ejemplares similares
-
Synthetic and real data sets for benchmarking non-cryptographic hash functions
por: Saez, Yago, et al.
Publicado: (2019) -
A synthetic data set to benchmark anti-money laundering methods
por: Jensen, Rasmus Ingemann Tuffveson, et al.
Publicado: (2023) -
Persistent Memory based Key-Value Store for Data Acquisition Systems
por: Maciejewski, Maciej
Publicado: (2019) -
Benchmarking distributed data warehouse solutions for storing genomic variant information
por: Wiewiórka, Marek S., et al.
Publicado: (2017) -
BioBenchmark Toyama 2012: an evaluation of the performance of triple stores on biological data
por: Wu, Hongyan, et al.
Publicado: (2014)