A set of solutions to help organizations reduce cost, complexity, and time when they aim to analyze their data in order to extract some well identified usefulness.
Published in Chapter:
Intelligent Management and Efficient Operation of Big Data
José Moura (Instituto Universitario de Lisboa, Portugal & Instituto de Telecomunicações, Portugal), Fernando Batista (Instituto Universitario de Lisboa, Portugal), Elsa Cardoso (Instituto Universitario de Lisboa, Portugal), and Luís Nunes (Instituto Universitario de Lisboa, Portugal & Instituto de Telecomunicações, Portugal)
Copyright: © 2015
|Pages: 25
DOI: 10.4018/978-1-4666-8505-5.ch006
Abstract
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.