Modeling and Management of Big Data: Challenges and opportunities
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http://hdl.handle.net/10045/57265
Títol: | Modeling and Management of Big Data: Challenges and opportunities |
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Autors: | Gil, David | Song, Il-Yeol |
Grups d'investigació o GITE: | Lucentia |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Paraules clau: | Conceptual modeling Big Data | Ecosystem | Integrate & analyze & visualize |
Àrees de coneixement: | Arquitectura y Tecnología de Computadores |
Data de publicació: | d’octubre-2016 |
Editor: | Elsevier |
Citació bibliogràfica: | Future Generation Computer Systems. 2016, 63: 96-99. doi:10.1016/j.future.2015.07.019 |
Resum: | The term Big Data denotes huge-volume, complex, rapid growing datasets with numerous, autonomous and independent sources. In these new circumstances Big Data bring many attractive opportunities; however, good opportunities are always followed by challenges, such as modelling, new paradigms, novel architectures that require original approaches to address data complexities. The purpose of this special issue on Modeling and Management of Big Data is to discuss research and experience in modelling and to develop as well as deploy systems and techniques to deal with Big Data. A summary of the selected papers is presented, followed by a conceptual modelling proposal for Big Data. Big Data creates new requirements based on complexities in data capture, data storage, data analysis and data visualization. These concerns are discussed in detail in this study and proposals are recommended for specific areas of future research. |
URI: | http://hdl.handle.net/10045/57265 |
ISSN: | 0167-739X (Print) | 1872-7115 (Online) |
DOI: | 10.1016/j.future.2015.07.019 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2015 Elsevier B.V. |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1016/j.future.2015.07.019 |
Apareix a la col·lecció: | INV - LUCENTIA - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2016_Gil_Song_FGCS_final.pdf | Versión final (acceso restringido) | 795,47 kB | Adobe PDF | Obrir Sol·licitar una còpia |
2016_Gil_Song_FGCS_accepted.pdf | Accepted Manuscript (acceso abierto) | 480,62 kB | Adobe PDF | Obrir Vista prèvia |
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