@inproceedings{7a6c445c65824cbc9466a396ba2f3e23,
title = "Mobile device-level data modeling through high utilization mobile applications",
abstract = "In this paper, we present a mobile-device level approach to estimating the network data (traffic) that is generated over time. While efforts oftentimes utilize complex approaches, our model captures the main characteristics in the time and data domains of a high utilization application class as Hidden Markov Model while modeling the remaining applications' characteristics in form of a simple background process. We find that our approach is capable of matching the average amounts of data behavior of the source dataset (with a reduction in overall variability of the simulated produced traffic as drawback) and is thus suitable for high level capacity evaluations.",
keywords = "Data communication, Mobile communication, Simulation, User modeling",
author = "Junghyo Lee and Patrick Seeling",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014 ; Conference date: 10-01-2014 Through 13-01-2014",
year = "2014",
doi = "10.1109/ccnc.2014.6994412",
language = "English",
isbn = "9781479923557",
series = "2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014",
publisher = "IEEE Computer Society",
pages = "513--514",
booktitle = "2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014",
}