Quality-of-Experience for Multimedia

List of Figures

I.1.	Adaptive control/command model
2.1.	Classification of objective measurement methods
2.2.	Quality chain in an E2E service
2.3.	QoE and QoS in quality management module
2.4.	General mapping curve between QoS and QoE
3.1.	CDN service
3.2.	General architecture of CDN system
3.3.	Two layers in a CDN architecture
4.1.	CDN processes
4.2.	Reinforcement learning model
4.3.	Example of a Markov process with three states and two actions
4.4.	Q-learning-based model
4.5.	QQAR protocol
4.6.	QQAR diagram
4.7.	Learning process
4.8.	Sample of execution for QQAR
4.9.	Phase 1: with MOS = 4, the Q-values are updated
4.10.	Phase 2: with MOS = 3, the Q-values are updated
4.11.	Phase 3: with MOS = 1, the Q-values are updated
4.12.	Phase 4: with MOS = 0, the Q-values are updated
4.13.	Phase 5: with MOS = 2, the Q-values are updated
4.14.	Network before the failure
4.15.	QQAR detects exactly the downed link
4.16.	Average MOS score of QQAR-1 and QQAR-2
4.17.	Irregular 6×6 grid network
4.18.	Incident time line for router X
4.19.	Network topologies
4.20.	Poisson rate modulated by Markov chain
4.21.	Markov-modulated Poisson process
4.22.	MOS score for 3AreasNet topology
4.23.	MOS score for 6×6GridNet topology
4.24.	MOS score for NTTnet topology
4.25.	Initialization phase for 3AreasNet topology
4.26.	Initialization phase for 6×6GridNet topology
4.27.	Initialization phase for NTTnet topology
4.28.	6×6GridNet topology after breaking down the R18-R19 link
4.29.	MOS score after topology change
4.30.	User perception indifferent ...