Living objects: towards flexible big data sharing

Data sharing and especially enabling third parties to build new services using large amounts of shared data is clearly a trend for the future and a main driver for innovation. However, sharing data is a challenging and involved process today: The owner of the data wants to maintain full and immediat...

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Detalles Bibliográficos
Autores principales: Marti, Jonathan, Queralt, Anna, Gasull, Daniel, Cortes, Toni
Formato: Articulo
Lenguaje:Español
Publicado: 2013
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/29787
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct13-1.pdf
Aporte de:
id I19-R120-10915-29787
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Data sharing
Database (persistent) programming languages
spellingShingle Ciencias Informáticas
Data sharing
Database (persistent) programming languages
Marti, Jonathan
Queralt, Anna
Gasull, Daniel
Cortes, Toni
Living objects: towards flexible big data sharing
topic_facet Ciencias Informáticas
Data sharing
Database (persistent) programming languages
description Data sharing and especially enabling third parties to build new services using large amounts of shared data is clearly a trend for the future and a main driver for innovation. However, sharing data is a challenging and involved process today: The owner of the data wants to maintain full and immediate control on what can be done with it, while users are interested in offering new services which may involve arbitrary and complex processing over large volumes of data. Currently, flexibility in building applications can only be achieved with public or non-sensitive data, which is released without restrictions. In contrast, if the data provider wants to impose conditions on how data is used, access to data is centralized and only predefined functions are provided to the users. We advocate for an alternative that takes the best of both worlds: distributing control on data among the data itself to provide flexibility to consumers. To this end, we exploit the well-known concept of object, an abstraction that couples data and code, and make it act and react according to the circumstances.
format Articulo
Articulo
author Marti, Jonathan
Queralt, Anna
Gasull, Daniel
Cortes, Toni
author_facet Marti, Jonathan
Queralt, Anna
Gasull, Daniel
Cortes, Toni
author_sort Marti, Jonathan
title Living objects: towards flexible big data sharing
title_short Living objects: towards flexible big data sharing
title_full Living objects: towards flexible big data sharing
title_fullStr Living objects: towards flexible big data sharing
title_full_unstemmed Living objects: towards flexible big data sharing
title_sort living objects: towards flexible big data sharing
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/29787
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct13-1.pdf
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AT queraltanna livingobjectstowardsflexiblebigdatasharing
AT gasulldaniel livingobjectstowardsflexiblebigdatasharing
AT cortestoni livingobjectstowardsflexiblebigdatasharing
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