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Key-value database

Known as: Key value database, Key-value data store, Key-value store 
A key-value store, or key-value database, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, a data… 
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Related topics

Related topics

50 relations
Aerospike DatabaseApache CassandraApache CouchDBApache HBase

Broader (1)

Database theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
CubicRing: Exploiting Network Proximity for Distributed In-Memory Key-Value Store
In-memory storage has the benefits of low I/O latency and high I/O throughput. Fast failure recovery is crucial for large-scale… 
2017
2017
Learning end-to-end application QoS from openflow switch statistics
We use statistical learning to estimate end-to-end QoS metrics from device statistics, collected from a server cluster and an… 
2016
2016
Implementing Ultra-Low-Latency Datacenter Services with Programmable Logic
Datacenters require many low-level network services to implement high-level applications. Key-value store (KVS) is a critical… 
2015
2015
YuruBackup: A Space-Efficient and Highly Scalable Incremental Backup System in the Cloud
In this paper, we present YuruBackup, a space-efficient and highly scalable incremental backup system in the cloud. YuruBackup… 
2015
2015
Scalable Network Traffic Classification Using Distributed Support Vector Machines
Internet traffic has increased dramatically in recent years due to the popularization of the Internet and the appearance of… 
2015
2015
Scale Up vs. Scale Out in Cloud Storage and Graph Processing Systems
Deployers of cloud storage and iterative processing systems typically have to deal with either dollar budget constraints or… 
2015
2015
Rethinking HBase: Design and Implementation of an Elastic Key-Value Store over Log-Structured Local Volumes
HBase is a prominent NoSQL system used widely in the domain of big data storage and analysis. It is structured as two layers: a… 
2015
2015
SparkRDF: In-Memory Distributed RDF Management Framework for Large-Scale Social Data
Considering the scalability and semantic requirements, Resource Description Framework (RDF) and the de-facto query language… 
2015
2015
Implementing Ultra Low Latency Data Center Services with Programmable Logic
Data centers require many low-level network services to implement high-level applications. Key-Value Store (KVS) is a critical… 
2013
2013
TBF: A memory-efficient replacement policy for flash-based caches
The performance and capacity characteristics of flash storage make it attractive to use as a cache. Recency-based cache… 
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