Aeneas: A Tool to Enable Applications to Effectively Use Non-relational Databases

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Jan 2013 Spain English Publisher:Elsevier BVJournal:Procedia Computer Science, volume 18, pages 2,561-2,564 (issn: 1877-0509,

Copyright policy )Funded by:EC | HIPEAC

Authors: Cugnasco, Cesare; Hernández, Roger; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Ayguadé Parra, Eduard;

doi: 10.1016/j.procs.2013.05.441

handle: 2117/23468

Aeneas: A Tool to Enable Applications to Effectively Use Non-relational Databases

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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 management code for applications using non-relational databases. Aeneas provides an easy and fast methodology to support the decision about how to organize and retrieve data in order to improve the performance.

Peer Reviewed

Country

Spain

Related Organizations

Universitat Polite`cnica de Catalunya
Spain
Universitat Politècnica de Catalunya
Spain
Barcelona Supercomputing Center
Spain

Keywords

Information storage and retrieval systems, Distributed data-store, Benchmarking, Non-relational database, Non-relational databases, Informació -- Sistemes d'emmagatzematge i recuperació, Data model design, Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades, :Informàtica::Sistemes d'informació::Bases de dades [Àrees temàtiques de la UPC], Apache Cassandra

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