Workload models of VBR video traffic and their use in resource allocation policies
IEEE/ACM Transactions on Networking (TON)
Video Coding: An Introduction to Standard Codecs
Video Coding: An Introduction to Standard Codecs
Performance evaluation of an adaptive-rate MPEG encoder matching intserv traffic constraints
IEEE/ACM Transactions on Networking (TON)
Bidimensional fluid model for VBR MPEG video traffic
BC '98 Proceedings of the IFIP TC6/WG6.2 Fourth International Conference on Broadband Communications: The future of telecommunications
Adaptive Streaming of MPEG Video over IP Networks
LCN '97 Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modelling an Adaptive-Rate Video-Streaming Service Using Markov-Rewards Models
QSHINE '04 Proceedings of the First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Dynamic resource allocation via video content and short-termtraffic statistics
IEEE Transactions on Multimedia
Traffic models in broadband networks
IEEE Communications Magazine
Cadenus: creation and deployment of end-user services in premium IP networks
IEEE Communications Magazine
Streaming video over the Internet: approaches and directions
IEEE Transactions on Circuits and Systems for Video Technology
Maximizing user utility in video streaming applications
IEEE Transactions on Circuits and Systems for Video Technology
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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 (SLAs), which specify quality parameters of the services operation such as availability and performance. This work is focused on the evaluation of Video-on-Demand (VoD) services 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, new design options can be proposed and be easily evaluated. To compute performability measures of the MRC model, the randomization method is employed. Predicted model results fit well to the ones taken from a real video-streaming testbed.