We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Models for wireless H.264 video-on-demand services using self-similarity and heavy-tails.
- Authors
Barba-Jimenez, Carlos; Ramirez-Velarde, Raul; Nolazco-Flores, Juan
- Abstract
In this work two video-on-demand (VoD) capacity models for H.264 video traces transmitted using 802.11g are proposed, one based on a self-similar traffic distribution and the other one based in the summation of a large number of Pareto distributed random variables. To ascertain the validity of using such modeling techniques a statistical analysis was performed where it was found that H.264 video traces exhibit self-similarity and heavy-tailed properties, as previous video formats that also use variable bit rate encoding. The models were evaluated against trace based simulations using ns-3 and results from hardware testbeds from other works. The model based on Pareto distributions gives a lower bound on a wide range of buffer sizes, while the model based on self-similarity provides a closer approximation to the user load when buffer size is high. The results show that the models can approximate the maximum user load for H.264 transmission on a local area VoD system and that they depend on the access point buffer size and the desired quality of service expressed as packet-loss probability.
- Subjects
VIDEO on demand; PARETO distribution; RANDOM variables; QUALITY of service; DATA packeting
- Publication
Wireless Networks (10220038), 2017, Vol 23, Issue 7, p2239
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-016-1281-4