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Big Data Processing, Analysis and Applications in Mobile Cellular Networks

Brdar, Sanja, Novović, Olivera, Grujić, Nastasija, González-Vélez, Horacio, Truică, Ciprian-Octavian, Benkner, Siegfried, Bajrovic, Enes and Papadopoulos, Apostolos (2019) Big Data Processing, Analysis and Applications in Mobile Cellular Networks. In: High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science (11400). Springer, Switzerland, pp. 163-185. ISBN 9783030162719

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Abstract

When coupled with spatio-temporal context, location-based
data collected in mobile cellular networks provide insights into patterns of human activity, interactions, and mobility. Whilst uncovered patterns have immense potential for improving services of telecom providers as
well as for external applications related to social wellbeing, its inherent massive volume make such ‘Big Data’ sets complex to process. A significant number of studies involving such mobile phone data have been
presented, but there still remain numerous open challenges to reach technology readiness. They include efficient access in privacy-preserving manner,
high performance computing environments, scalable data analytics, innovative data fusion with other sources–all finally linked into the applications ready for operational mode. In this chapter, we provide a broad
overview of the entire workflow from raw data access to the final applications and point out the critical challenges in each step that need to be addressed to unlock the value of data generated by mobile cellular
networks.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Related URLs:
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 28 Mar 2019 13:57
Last Modified: 28 Mar 2019 14:15
URI: http://trap.ncirl.ie/id/eprint/3751

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