Chinese Multimedia Messaging Service (MMS) analysis using hadoop

Author

Chao Dong ; Bolun Huang ; Zhenming Lei ; Jie Yang

Author_Institution

Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

01

fYear

2012

fDate

Oct. 30 2012-Nov. 1 2012

Firstpage

234

Lastpage

239

Abstract

Multimedia Messaging Service (MMS), is one of the most popular mobile data services in China. The current MMS user base is still undergoing steady growth with the popularization of 3G in China. Hence, a comprehensive understanding of the characteristics of MMS traffic is necessary to Internet Service Providers (ISPs) in network planning. In this paper, based on massive data captured from a backbone node for half a year, we provide a detailed analysis of MMS traffic, including the MMS successful receipt rate, the distribution of MMS content length, the distribution of MMS receipt duration and the distribution of average MMs transmission rate. Furthermore, we used K-means clustering method to evaluate the performances of the cell sites in the MMS network. All the analyses in this paper were based on our cloudy-computing platform, and the results also showed that this platform is very useful in network traffic analysis.

Keywords

3G mobile communication; cellular radio; cloud computing; electronic messaging; multimedia communication; pattern clustering; public domain software; telecommunication computing; telecommunication traffic; 3G; Chinese multimedia messaging service; Hadoop; ISP; Internet service providers; K-means clustering method; MMS content length distribution; MMS receipt duration distribution; MMS successful receipt rate; MMS traffic analysis; cell sites performance evaluation; cloud-computing platform; mobile data services; network planning; network traffic analysis; Computer architecture; Ground penetrating radar; Mobile communication; Multimedia communication; Quality of service; Servers; Telecommunication traffic; Hadoop platform; K-means clustering; Key words : Mobile network; M ms characterisitcs; Multimedia Messaging Servic;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-1855-6

Type

conf

DOI

10.1109/CCIS.2012.6664403

Filename

6664403