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Aeneas: a tool to enable applications to effectively use non-relational databases

Autor
Cugnasco, C.; Hernández, R.; Becerra, Y.; Torres, J.; Ayguade, E.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2013 International Conference on Computational Sciences
Any de l'edició
2013
Data de presentació
2013-06
Llibre d'actes
Procedia computer science, Vol. 18, 2013
Pàgina inicial
2561
Pàgina final
2564
Editor
Elsevier
DOI
https://doi.org/10.1016/j.procs.2013.05.441 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/23468 Obrir en finestra nova
URL
http://dx.doi.org/10.1016/j.procs.2013.05.441 Obrir en finestra nova
Resum
Non-relational databases arise as a solution to solve the scalability problems of relational databases when dealing with big data applications. However, they are highly configurable prone to user decisions that can heavily affect their performance. In order to maximize the performance, different data models and queries should be analyzed to choose the best fit. This may involve a wide range of tests and may result in productivity issues. We present Aeneas, a tool to support the design of data ma...
Citació
Cugnasco, C. [et al.]. Aeneas: A tool to enable applications to effectively use non-relational databases. A: International Conference on Computational Science. "Procedia computer science, Vol. 18, 2013". Barcelona: Elsevier, 2013, p. 2561-2564.
Paraules clau
Apache Cassandra, Benchmarking, Data model design, Distributed data-store, Non-relational database
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants

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