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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Big Data in Telecommunications: Seamless Network Discovery and Traffic Steering with Crowd Intelligence

Big Data in Telecommunications: Seamless Network Discovery and Traffic Steering with Crowd Intelligence
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Author(s): Yen Pei Tay (Quest International University Perak, Malaysia), Vasaki Ponnusamy (Quest International University Perak, Malaysia)and Lam Hong Lee (Quest International University Perak, Malaysia)
Copyright: 2016
Pages: 15
Source title: Big Data: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9840-6.ch036

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Abstract

The meteoric rise of smart devices in dominating worldwide consumer electronics market complemented with data-hungry mobile applications and widely accessible heterogeneous networks e.g. 3G, 4G LTE and Wi-Fi, have elevated Mobile Internet from a ‘nice-to-have' to a mandatory feature on every mobile computing device. This has spurred serious data traffic congestion on mobile networks as a consequence. The nature of mobile network traffic today is more like little Data Tsunami, unpredictable in terms of time and location while pounding the access networks with waves of data streams. This chapter explains how Big Data analytics can be applied to understand the Device-Network-Application (DNA) dimensions in annotating mobile connectivity routine and how Simplify, a seamless network discovery solution developed at Nextwave Technology, can be extended to leverage crowd intelligence in predicting and collaboratively shaping mobile data traffic towards achieving real-time network congestion control. The chapter also presents the Big Data architecture hosted on Google Cloud Platform powering the backbone behind Simplify in realizing its intelligent traffic steering solution.

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