CHINESE MULTIMEDIA MESSAGING SERVICE (MMS) ANALYSIS USING HADOOP
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 Intemet 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.
Mobile network Multimedia Messaging Servic Hadoop platform Mms characterisitcs K-means clustering
Chao Dong Bolun Huang Zhenming Lei Jie Yang
Beijing Key Laboratory of Network System Architecture and Convergence,Beijing University of Posts and Telecommunications,Beijing 100876,China
国际会议
杭州
英文
299-304
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）