Recently,there have been many mobile value-added services in the Chinese mobile telecommunication market nowadays.Among them,the characteristics of Multimedia Messaging Service(MMS)have not yet been fully understood.In this paper,with the help of a cloud computing platform,we investigated the flow-level characteristics of Chinese MMS.All of the experimental data were collected by the TMS equipment deployed in a major node in Southern China.The collection time spanned six months.We performed high-level analysis to show the basic distributions of MMS characteristics.Then,by analysing the detailed MMS features,we determined the distribution of personal MMS,and made a comprehensive comparison between2G and 3G MMS.Finally,we tried to build a model on the personal MMS inter-arrival time,and we found that the Weibull distribution was optimum. Recently, there have been many mobile value-added services in the Chinese mobile telecommunication market nowadays. Among them, the characteristics of Multimedia Messaging Service (MMS) have not yet fully been fully understood. In this paper, with the help of a cloud computing platform , we investigated the flow-level characteristics of Chinese MMS. All of the experimental data were collected by the TMS equipment deployed in a major node in Southern China. The collection time spanned six months. We performed high-level analysis to show the basic distributions of MMS characteristics. Chen, by analyzing the detailed MMS features, we determined the distribution of personal MMS, and made a comprehensive comparison between 2G and 3G MMS. Finally, we tried to build a model on the personal MMS inter-arrival time, and we found that the Weibull distribution was optimum.