Approved
Traffic analysis of Internet user behavior and content demand patterns
Irina Sanchez Muriana ()
Start
2016-02-04
Presentation
2016-06-07 13:15
Location:
E:3139
Finished:
2016-06-09
Master's thesis:
Abstract
The study of Internet traffic is relevant in order to improve the quality of service of users. Being able to know which are the most popular services and the hours with most active users can let us identify the amount of inbound and outbound traffic produced, and hence design a network able to support the activity expected. The implementation of a network considering that knowledge can reduce the waiting time of users considerably, improving the users’ experience in the web. Analysis of users’ traffic and user demand patterns already exist. However, the data used in these studies is not renewed, thus the results found can be obsolete and considerable changes would have happened. In this bachelor’s thesis, it is studied the amount of inbound and outbound traffic produced considering different applications and it has been done an evolution taking into account previous and actual data. This would let us appreciate the changes produced from 2007 to 2015 and observe the tendencies nowadays. In addition, it has been analyzed the user demand patterns in the beginning of 2016 and it has been contrasted with previous results. The evolution of traffic has shown changes in users’ preferences, although their demand patterns are still the same of previous years. The results found in this thesis confirmed the expectations about an increasing in streaming media Internet traffic; it was proved that streaming media traffic is the dominant total traffic, with Netflix as the major contributor.
Supervisor: Marcel Fernández Muñoz (Universitat Polytecnica de Catalunya) and Jens A Andersson (EIT) and Maria Kihl (EIT)
Examiner: Christian Nyberg (EIT)