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Moura, J., Batista, F., Cardoso, E. & Nunes, L. (2015). Intelligent management and efficient operation of big data. In Noor Zaman, Mohamed Elhassan Seliaman, Mohd Fadzil Hassan, Fausto Pedro Garcia Marquez (Ed.), Handbook of research on trends and future directions in big data and web intelligence. (pp. 105-129).: IGI Global.

J. A. Moura et al.,  "Intelligent management and efficient operation of big data", in Handbook of research on trends and future directions in big data and web intelligence, Noor Zaman, Mohamed Elhassan Seliaman, Mohd Fadzil Hassan, Fausto Pedro Garcia Marquez, Ed., IGI Global, 2015, pp. 105-129

@incollection{moura2015_1734848687886,
	author = "Moura, J. and Batista, F. and Cardoso, E. and Nunes, L.",
	title = "Intelligent management and efficient operation of big data",
	chapter = "",
	booktitle = "Handbook of research on trends and future directions in big data and web intelligence",
	year = "2015",
	volume = "",
	series = "",
	edition = "",
	pages = "105-105",
	publisher = "IGI Global",
	address = "",
	url = "https://www.igi-global.com/chapter/intelligent-management-and-efficient-operation-of-big-data/137021"
}

TY  - CHAP
TI  - Intelligent management and efficient operation of big data
T2  - Handbook of research on trends and future directions in big data and web intelligence
AU  - Moura, J.
AU  - Batista, F.
AU  - Cardoso, E.
AU  - Nunes, L.
PY  - 2015
SP  - 105-129
SN  - 2327-1981
DO  - 10.4018/978-1-4666-8505-5.ch006
UR  - https://www.igi-global.com/chapter/intelligent-management-and-efficient-operation-of-big-data/137021
AB  - 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.

ER  -