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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

Yen Pei Tay, Vasaki Ponnusamy, Lam Hong Lee
Copyright: © 2016 |Pages: 15
ISBN13: 9781466698406|ISBN10: 1466698403|EISBN13: 9781466698413
DOI: 10.4018/978-1-4666-9840-6.ch036
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MLA

Tay, Yen Pei, et al. "Big Data in Telecommunications: Seamless Network Discovery and Traffic Steering with Crowd Intelligence." Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 778-792. https://doi.org/10.4018/978-1-4666-9840-6.ch036

APA

Tay, Y. P., Ponnusamy, V., & Lee, L. H. (2016). Big Data in Telecommunications: Seamless Network Discovery and Traffic Steering with Crowd Intelligence. In I. Management Association (Ed.), Big Data: Concepts, Methodologies, Tools, and Applications (pp. 778-792). IGI Global. https://doi.org/10.4018/978-1-4666-9840-6.ch036

Chicago

Tay, Yen Pei, Vasaki Ponnusamy, and Lam Hong Lee. "Big Data in Telecommunications: Seamless Network Discovery and Traffic Steering with Crowd Intelligence." In Big Data: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 778-792. Hershey, PA: IGI Global, 2016. https://doi.org/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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