dc.contributorBertolini, Cristiano
dc.contributorPreuss, Evandro
dc.creatorCastro, Matheus Orlandi de
dc.date.accessioned2018-04-12T23:17:45Z
dc.date.accessioned2019-05-24T19:14:08Z
dc.date.available2018-04-12T23:17:45Z
dc.date.available2019-05-24T19:14:08Z
dc.date.created2018-04-12T23:17:45Z
dc.date.issued2016-12-16
dc.identifierhttp://repositorio.ufsm.br/handle/1/12964
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2832771
dc.description.abstractThe data volume is getting bigger and different solutions have been proposed to deal with a large volume of data. This paper presents a performance evaluation of the Kafka and Flume brokers in the context of Big Data. We proposed a benchmark to evaluate the brokers with simulated data and a real application. When we use previous stored data the broker Flume performed better than Kafka and when the streaming is used to generate data Kafka has a better performance.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBrasil
dc.publisherUFSM
dc.publisherUFSM Frederico Westphalen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsAcesso Aberto
dc.subjectBig data
dc.titleAvaliação dos brokers Kafka e Apache Flume no contexto de big data
dc.typeTrabalho de Conclusão de Curso de Graduação


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