Institute of Computer ScienceChair of Communication Networks
Prof. Dr.-Ing. P. Tran-Gia
QoE-Aware Multipath Video Transmission in the Future Internet
Thomas [email protected]
Zukunft der Netze 2012Future Internet: Architectures, Mobility and Security
28. September 2012, Wien
QoE-Aware Multipath Video Transmission in the Future Internet 2
NetworkBandw
idth
YouToube Video Software Distribution
Example: YouTube Download Quality
QoE-Aware Multipath Video Transmission in the Future Internet 3
0 20 40 600
100
200
300
400
time [s]
data
[ kB
/ s]
0 10 20 30 40 50 600
5
10
15
time [s]
buffe
red
play
time
[s]
Actualprogress
Resulting Service Quality
Fair share with respect to QoS (throughput) Bulk data download performance: good YouTube quality: bad
bulk data YouTube
throughputdesired progress
Influence on
YouTube
QoE-Aware Multipath Video Transmission in the Future Internet 4
What to do?
Improve network capabilities Provide more capacity
– Concurrent usage of different transport technologies– Allocation of additional capacity (e.g., by network virtualization)
Use available resources with respect to user/applications demands (e.g., prioritization)
Adapt application demands to network capabilities Application quality (required capacity vs. application quality) Initial buffering (waiting times before startup vs. distortions during
playback)
QoE-Aware Multipath Video Transmission in the Future Internet 5
We need a better interaction between applications and networks
QoE-Aware Multipath Video Transmission in the Future Internet 6
Network
Application
Video Streaming and Multipath Transport
Adapt application quality to network QoS: Resolution, image quality, …
Influence of QoS on user perceived quality (QoE)
Investigation of QoEmanagement with H.264 / SVC
Increase end-to-end bandwidth with multi-path transmissions
Influence of different path characteristics on performance
Modeling and evaluation of multi-path transmission
req
uir
em
en
ts co
nd
ition
s
CDNCustomer
QoE-Aware Multipath Video Transmission in the Future Internet 7
Performance Issues
out-of-order arrivals
different path delays
resequencing ?
Packet sequence is changed: Possible performance degradation Additional resequencing buffer required Impact on packet transport, buffer dimensioning
QoE-Aware Multipath Video Transmission in the Future Internet 8
Example: Concurrent multipath transport via two paths
Measurements within an experimental facility Delay variation on utilized paths Puffer occupancy for measurements, simulation and analysis
Good approximation of buffer occupancy with analytical models and simulations
2nd path
1st path
Path delay d
P(x≤d
)
Pufferauslastung k
Analyse
Messungen
Simulation
P(x≤k
)Buffer occupancy k
Analyse
Messungen
Simulation
measurements
simulation
analysis
QoE-Aware Multipath Video Transmission in the Future Internet 9
Netzwork
Application
Video Streaming and Multipath Transmission
Adapt application quality to network QoS: Resolution, image quality, …
Influence of QoS on user perceived quality (QoE)
Investigation of QoEmanagement with H.264 / SVC
Increase end-to-end bandwidth with multi-path transmissions
Influence of different path characteristics on performance
Modeling and evaluation of multi-path transmission
req
uir
em
en
ts co
nd
ition
s
CDNCustomer
QoE-Aware Multipath Video Transmission in the Future Internet 10
QoE Management for H.264/SVC
High impact of insufficient network resources on QoE Empty buffers and stalling (TCP) Packet loss and artifacts / stream starvation (UDP)
Adaptation to network conditions by changing Resolution (spatial) Frame rate (temporal) Image quality (quality)
Functionality provided by scalable extensionof H.264 /AVC
QoE Management for H.264/SVC ?
QoE-Aware Multipath Video Transmission in the Future Internet 11
Impact of Network and Application on QoE
QoE quantification with objective metrics (SSIM)
packet loss
frame rate
image quality
resolution
Qo
E
Used bandwidth / Maximum bandwidth
QoE-Aware Multipath Video Transmission in the Future Internet 12
Provisioning-Delivery Hysteresis: Controlled adaptation of application quality to network conditions outperforms uncontrolled adaptation, e.g., due to loss
Hysteresis showed for websurfing, VoIP, video streaming
Generic Relationship: Hysteresis
Uncontrolled distortions(e.g., packet loss)
Controlled distortions(e.g., lower resolutions)
Bandbreite (Mbit/s)
Paketverlustrate (%)Used bandwidth / Maximum bandwidth0.4 0.8 10.60.20
Qo
E
Low packet loss rate≈
High savings due to lowquality
QoE-Aware Multipath Video Transmission in the Future Internet 13
Optimization Potential for Application and Network
Best user perceived quality in case of application-network interaction
Customers
a few many
Application
Application & Network
Network
No reaction
Qo
E
go
od
ba
d
QoE-Aware Multipath Video Transmission in the Future Internet 14
GLAB – Project COMCON
Control and Management of Coexisting Networks
Partners:
Nokia Siemens Networks
NTT Docomo Euro-Labs
University of Würzburg
University of Stuttgart
Infosim
QoE-Aware Multipath Video Transmission in the Future Internet 16
COMCON Demo
Beste Nutzerqualität nur bei koordinierter Netz- und Anwendungsanpassung möglich
Anwender
Qo
E
wenig viel
Anwendung
Anwendung & Netzwerk
Netzwerk
Keine Reaktion
QoE-Aware Multipath Video Transmission in the Future Internet 17
Open Research Questions
Monitoring of application and network conditions: What has to be monitored? Where? Monitoring accuracy vs. monitoring and signaling overhead
Control of application and network: Maximize e.g., video quality vs. quality change frequency
Decision Component: Placement and structure of decision entity/entities Protocols for communication between and to DCs
Flow of Information: Which information has to be exchanged? Quantification of the
impact of this information on the QoE How to exchange information?
Scalability …
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