dc.contributor | Bertolini, Cristiano | |
dc.contributor | Preuss, Evandro | |
dc.creator | Castro, Matheus Orlandi de | |
dc.date.accessioned | 2018-04-12T23:17:45Z | |
dc.date.accessioned | 2019-05-24T19:14:08Z | |
dc.date.available | 2018-04-12T23:17:45Z | |
dc.date.available | 2019-05-24T19:14:08Z | |
dc.date.created | 2018-04-12T23:17:45Z | |
dc.date.issued | 2016-12-16 | |
dc.identifier | http://repositorio.ufsm.br/handle/1/12964 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/2832771 | |
dc.description.abstract | The 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.publisher | Universidade Federal de Santa Maria | |
dc.publisher | Brasil | |
dc.publisher | UFSM | |
dc.publisher | UFSM Frederico Westphalen | |
dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.rights | Acesso Aberto | |
dc.subject | Big data | |
dc.title | Avaliação dos brokers Kafka e Apache Flume no contexto de big data | |
dc.type | Trabalho de Conclusão de Curso de Graduação | |