Using data mining techniques to extract key factors in Mobile live streaming
Daniel Vasconcelos Correa da Silva, Pedro B. Velloso, Antônio A. de A. Rocha · 2019
In recent years many changes have taken place, such as increasingly powerful smartphones and cellular network allowing broadband access, and is expected in the coming years an increase in live streaming data traffic for mobile devices. On the other hand, it is common to find in the literature criticism of the traditional client-server model, that the Internet was not designed to support multimedia applications, or even that mobile network isn't appropriated to streaming, despite the fact that video streaming works and is a very popular Internet application. This work proposes, from the log files of a large CDN, discuss the influence of impact factors in the quality of the users' transmissions using mobile devices in popular live video transmissions. Using association rule, a data mining technique, this paper aims to analyze popular live streaming sessions to understand what factors may impact the broadcasts.