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Horizontal scalability analysis in a hbase cluster

Authors: Dos Santos, Cedryk Augusto; de Lima, Bruno Santos; Cayres, Leandro Ungari; Garcia, Rogério Eduardo; Olivete Junior, Celso; Eler, Danilo Medeiros; Correia, Ronaldo Celso Messias;

Horizontal scalability analysis in a hbase cluster

Abstract

Horizontal Scalability allows resources to be distributed by the addition of nodes, being made more flexible by the NoSQL Database. This work evaluates the horizontal scalability potential of a Hbase Database cluster, through a benchmarking in several scenarios, an ideal scenario is obtained, to verify the efficiency and availability of applications regardless of storage demand, operations and nodes addition. The results indicate that scalability is more evident, except in scan operations, in sets of 100,000 and 1,000,000 records, in increasing the number of nodes from 1 to 2 and from 2 to 3. In the search operations, there is no improvement from the additional nodes.

Country
Brazil
Keywords

Benchmarking, Horizontal Scalability, Cluster HBase, NoSQL

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green