Presenter(s): Donna Hooshmand—Computer Science, Mathematics
Faculty Mentor(s): Reza Rejaie
Session: Prerecorded Poster Presentation
This study relies on several years of NETFLOW data for exchanged traffic between the University of Oregon network (UOnet) and the Internet to perform a longitudinal analysis on the characteristics of popular Internet Applications . We develop techniques to identify connections related to video streams from their NETFLOW records . We then investigate how the fraction of UOnet traffic associated with (i .e . popularity of) major video streaming applications (e .g . YoutTube, Netflix, Amazon Prime), the basic characteristics of their video (e .g . bandwidth and duration) and their delivery mechanism have evolved over the past few years . Our empirical findings will offer valuable insights into important practical aspects of video streams services and their evolution over time .