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

Author
Cugnasco, C.; Hernández, R.; Becerra, Y.; Torres, J.; Ayguade, E.
Type of activity
Presentation of work at congresses
Name of edition
2013 International Conference on Computational Sciences
Date of publication
2013
Presentation's date
2013-06
Book of congress proceedings
Procedia computer science, Vol. 18, 2013
First page
2561
Last page
2564
Publisher
Elsevier
DOI
https://doi.org/10.1016/j.procs.2013.05.441 Open in new window
Repository
http://hdl.handle.net/2117/23468 Open in new window
URL
http://dx.doi.org/10.1016/j.procs.2013.05.441 Open in new window
Abstract
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...
Citation
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.
Keywords
Apache Cassandra, Benchmarking, Data model design, Distributed data-store, Non-relational database
Group of research
CAP - High Performace Computing Group

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