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Mozo Velasco, Bonifacio Alberto ORCID: https://orcid.org/0000-0001-9743-8604, Guadamillas Herranz, Álvaro, López, Miguel Ángel, Pulvirenti, Fabio and Maravitsas, Nikolaos
(2014).
A telecom analytics framework for dynamic quality of service management.
In: "First International Workshop on Big Data Applications and Principles", 11/09/2014 - 12/09/2014, Madrid, Spain. ISBN 978-84-15302-94-0. pp. 103-132.
Title: | A telecom analytics framework for dynamic quality of service management |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Lecture) |
Event Title: | First International Workshop on Big Data Applications and Principles |
Event Dates: | 11/09/2014 - 12/09/2014 |
Event Location: | Madrid, Spain |
Title of Book: | First International Workshop on Big Data Applications and Principles : Proceedings |
Date: | September 2014 |
ISBN: | 978-84-15302-94-0 |
Subjects: | |
Freetext Keywords: | Machine learning, Big Data, traffic characterization, quality of service, Quality of Experience |
Faculty: | E.T.S.I. de Sistemas Informáticos (UPM) |
Department: | Sistemas Informáticos |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Since the beginning of Internet, Internet Service Providers (ISP) have seen the need of giving to users? traffic different treatments defined by agree- ments between ISP and customers. This procedure, known as Quality of Service Management, has not much changed in the last years (DiffServ and Deep Pack-et Inspection have been the most chosen mechanisms). However, the incremen-tal growth of Internet users and services jointly with the application of recent Ma- chine Learning techniques, open up the possibility of going one step for-ward in the smart management of network traffic. In this paper, we first make a survey of current tools and techniques for QoS Management. Then we intro-duce clustering and classifying Machine Learning techniques for traffic charac-terization and the concept of Quality of Experience. Finally, with all these com-ponents, we present a brand new framework that will manage in a smart way Quality of Service in a telecom Big Data based scenario, both for mobile and fixed communications.
Item ID: | 35324 |
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DC Identifier: | https://oa.upm.es/35324/ |
OAI Identifier: | oai:oa.upm.es:35324 |
Official URL: | http://ict-ontic.eu/bigdap14/bigdap14_PROCEEDINGS.... |
Deposited by: | Memoria Investigacion |
Deposited on: | 18 Mar 2016 18:52 |
Last Modified: | 18 Mar 2016 18:52 |