Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Mapreduce performance model for Hadoop 2.x

Autor
Glushkova, D.; Jovanovic, P.; Abello, A.
Tipus d'activitat
Article en revista
Revista
Information systems
Data de publicació
2019-01
Volum
79
Pàgina inicial
32
Pàgina final
43
DOI
https://doi.org/10.1016/j.is.2017.11.006 Obrir en finestra nova
Projecte finançador
Generación y Evolución de Smart APls
Repositori
http://hdl.handle.net/2117/124328 Obrir en finestra nova
URL
https://www.sciencedirect.com/science/article/pii/S0306437917304659 Obrir en finestra nova
Resum
MapReduce is a popular programming model for distributed processing of large data sets. Apache Hadoop is one of the most common open-source implementations of such paradigm. Performance analysis of concurrent job executions has been recognized as a challenging problem, at the same time, that may provide reasonably accurate job response time estimation at significantly lower cost than experimental evaluation of real setups. In this paper, we tackle the challenge of defining MapReduce performance ...
Paraules clau
Hadoop 2.x, MapReduce performance model
Grup de recerca
GESSI - Grup d'Enginyeria del Software i dels Serveis

Participants