Management and application of mobile big data
by Zhensong Liao; Qiang Yin; Yan Huang; Li Sheng
International Journal of Embedded Systems (IJES), Vol. 7, No. 1, 2015

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.

Online publication date: Wed, 03-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com