Title: Management and application of mobile big data

Authors: Zhensong Liao; Qiang Yin; Yan Huang; Li Sheng

Addresses: Network Management Center, China Mobile Hubei Company, Wuhan, 430023, China ' Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China ' Business Supporting Center, China Mobile Hubei Company, Wuhan, 430023, China ' Network Management Center, China Mobile Hubei Company, Wuhan, 430023, China

Abstract: Big data is the buzzword of the year. Especially in the field of telecommunications, telecom operators have been put to the test of mobile big data because it has huge, varied and complex structure with challenges to store and analysis. However, big data also has potential big value. Revealing hidden information and making further processes in mobile big data, telecom operators could depict user behaviour to improve average-revenue-per-user (ARPU) and detect real-time device information to prevent potential equipment failure. An overview of mobile big data's content, scope, methods, challenges and samples is presented in this paper. The paper also discusses the current process and analysis on mobile big data and introduces a mobile data infrastructure (MDI) and a mobile data lifetime management (MDLM) model. Finally, a mobile big data system will be described.

Keywords: mobile big data; telecommunications; data mining; data management; embedded systems; telecoms; user behaviour; average-revenue-per-user; ARPU; real-time device information; equipment failure; mobile data infrastructure; MDI; mobile data lifetime management; MDLM.

DOI: 10.1504/IJES.2015.066143

International Journal of Embedded Systems, 2015 Vol.7 No.1, pp.63 - 70

Received: 17 Apr 2014
Accepted: 07 May 2014
Published online: 03 Dec 2014 *

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