Understanding data traffic behaviour for smartphone video and audio apps

Abstract

This poster is the first known attempt towards traffic engineering for smart-phone audio and video apps - it seeks to report network traffic characteristics, like packet size distribution, traffic burstiness and self-similarity in data traffic. We consider different candidate apps from three different groups - interactive apps, buffered apps and streaming apps, collect packet traces for three months with four customized Android smart-phones, and then analyze their internal patterns. We observe significant differences in traffic characteristics among various application groups, which can be explored in the future for the development of network level service provisioning and traffic management mechanisms.