By Topic

Modelling an adaptive-rate video-streaming service using Markov-rewards models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
F. I. V. Martin ; Dept. of Telematics Eng., Catalonia Tech. Univ., Barcelona, Spain ; J. J. Alins-Delgado ; M. Aguilar-Igartua ; J. Mata-Diaz

Nowadays dynamic service management frameworks are proposed to ensure end-to-end QoS. To achieve this goal, it is necessary to manage service level agreements (SLA) which specify quality parameters of the services operation such as availability and performance. This work is focused on video-on-demand (VoD) services to investigate the goodness of performability techniques in end-to-end QoS scenarios. Based on a straightforward Markov chain, Markov-reward chain (MRC) models are developed in order to obtain various QoS measures of an adaptive VoD service. The MRC model has a clear understanding with the design and operation of the VoD system. In this way, several design options can be compared. To compute performability measures of the MRC model, the randomization method is employed. Predicted model results fits well with the ones taken from a real video-streaming testbed.

Published in:

Quality of Service in Heterogeneous Wired/Wireless Networks, 2004. QSHINE 2004. First International Conference on

Date of Conference:

18-20 Oct. 2004