Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/28584
Autoria: Moura, J.
Batista, F.
Cardoso, E.
Nunes, L.
Editor: Noor Zaman
Mohamed Elhassan Seliaman
Mohd Fadzil Hassan
Fausto Pedro Garcia Marquez
Data: 2015
Título próprio: Intelligent management and efficient operation of big data
Título e volume do livro: Handbook of research on trends and future directions in big data and web intelligence
Paginação: 105 - 129
Referência bibliográfica: Moura, J., Batista, F., Cardoso, E., & Nunes, L. (2015). Intelligent management and efficient operation of big data. EM N. Zaman, M. E. Seliaman, M. F. Hassan, & F. P. G. Marquez. Handbook of research on trends and future directions in big data and web intelligence (pp. 105-129). IGI Global. https://doi.org/10.4018/978-1-4666-8505-5.ch006
ISSN: 2327-1981
ISBN: 9781466685062
DOI (Digital Object Identifier): https://doi.org/10.4018/978-1-4666-8505-5.ch006
Palavras-chave: Big data
Usable knowledge
Data science
Text mining
Intelligent management
Internet exchange point
Resumo: This chapter details how Big Data can be used and implemented in networking and computing infrastructures. Specifically, it addresses three main aspects: the timely extraction of relevant knowledge from heterogeneous, and very often unstructured large data sources; the enhancement on the performance of processing and networking (cloud) infrastructures that are the most important foundational pillars of Big Data applications or services; and novel ways to efficiently manage network infrastructures with high-level composed policies for supporting the transmission of large amounts of data with distinct requisites (video vs. non-video). A case study involving an intelligent management solution to route data traffic with diverse requirements in a wide area Internet Exchange Point is presented, discussed in the context of Big Data, and evaluated.
Arbitragem científica: no
Acesso: Acesso Aberto
Aparece nas coleções:IT-CLI - Capítulos de livros internacionais

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