DOI

  • Jan Willem Kleinrouweler
  • Sergio Cabrero
  • Rob Van Der Mei
  • Pablo Cesar
In this paper, we present a model for evaluating bandwidth sharing policies, that can be applied to networks that handle both video streaming traffic, as well as other traffic. Video streaming is a demanding network application. In crowded networks, resources need to be properly divided in order not to diminish the streaming experience. However, in network deployments with a large number of users, the streaming performance cannot be obtained straightforwardly from a sharing policy. Therefore, we propose a Markov model that is compatible with Dynamic Adaptive Streaming over HTTP (DASH), the major technology for video streaming over the Internet. If DASH is combined with in-network resource management, its performance can be significantly improved. Nevertheless, resource sharing policies need to be configured. This requires evaluation of many different configurations. Real deployments or network simulations demand many system resources and time. In contrast, our model can quickly evaluate many configurations, and for each configuration output the expected video bitrate and number of changes in video bitrate. These two parameters play an important role in the Quality of Experience of the viewer. In this paper, we demonstrate how our model can be used to analyze and optimize resource sharing policies. As such, our model is a useful tool for network administrators and allows them to better provision and configure their networks.
Original languageEnglish
Title of host publication2016 28th International Teletraffic Congress (ITC 28)
PublisherIEEE
Pages112-120
Number of pages9
Volume1
ISBN (Electronic)978-0-9883045-1-2
DOIs
Publication statusPublished - 2016
Event2016 28th International Teletraffic Congress - Würzburg, Germany
Duration: 12 Sep 201616 Sep 2016
https://itc28.org/

Conference

Conference2016 28th International Teletraffic Congress
Abbreviated titleITC 28
CountryGermany
CityWürzburg
Period12/09/1616/09/16
Internet address

    Research areas

  • Streaming media, Bit rate, Bandwidth, Resource management, Quality of service, Video recording, Quality assessment

ID: 11518033