QOE 2019 - 3rd INTERNATIONAL WORKSHOP ON QUALITY OF EXPERIENCE MANAGEMENT: QOE-MANAGEMENT 2019

The 3rd International Workshop on Quality of Experience Management (QoE-Management) will be held in conjunction with the 22nd Conference on Innovation in Clouds, Internet and Networks (ICIN 2019) in Paris, France, from February 18-21, 2019. After the success of the previous QoE-Management workshops, also the third edition of the workshop is endorsed by the QoE and Networking Initiative (http://qoe.community).
Recent technological advances have enabled a constant proliferation of novel immersive and interactive services that pose ever-increasing demands to our communication ecosystem and offer a plethora of service consumption possibilities. Examples include: social TV, immersive environments, mobile gaming, Ultra High Definition (4K/8K), 3D virtual worlds, and Virtual and Augmented Reality. While service and application management has typically been centered around a set of Quality of Service parameters (e.g., packet loss, delay, jitter), there is a clear need to understand and model the impact of management decisions on Quality of Experience (QoE) metrics as perceived by the end user.
To date, a significant amount of research has been devoted to understanding, measuring, and modeling QoE for a variety of media services. The next step is to explore methods that actively exploit such knowledge to improve and manage the quality of multimedia services, while at the same time ensuring efficient and cost-effective network operations. Moreover, with many different players involved in the end-to-end service delivery chain, identifying the root causes of QoE impairments and finding effective solutions for meeting the end users' requirements and expectations in terms of service quality is a challenging and complex problem. Going beyond technical aspects of actually implementing QoE management schemes, there is a need to address the business and economic aspects which are critical for those schemes to become viable in practice.
QoE-Management 2019 aims at providing an international forum for researchers addressing emerging concepts and challenges related to managing QoE for networked services. The workshop will aim to address QoE management in the context of ongoing developments, such as the move to 5G and virtualized networks; the exploitation of big data analytics and machine learning in the domains of QoE modeling and monitoring; and solutions targeting emerging complex, interactive, and immersive service scenarios. The workshop will combine original full and short paper presentations with a motivating keynote to thoroughly explore this challenging topic.
Topics of interest:
Characterization and modeling of QoE
Relationship between QoE and QoS in multimedia networking
New objective & subjective methods and algorithms
Use of crowdsourcing techniques
Active learning and data-driven techniques
Move towards personalized QoE
QoE monitoring and measurement
Big Data and analytics-driven QoE monitoring approaches
Effects of Internet performance on QoE
QoE monitoring approaches in the wild
QoE monitoring challenges related to traffic encryption
Challenges related to deployment and placement of monitoring probes
QoE-aware network and application management
Open source platforms for QoE management
QoE management in heterogeneous networks
Energy efficient QoE management
Cooperative approaches towards QoE management
Adaptive QoE management
Self-organization techniques for the management of multimedia services
QoE assurance loops
Quality management applied to different business sectors and use cases
Smart city, transport, and automotive
Healthcare and AAL
Intelligent manufacturing, Industry 4.0 and tactile Internet
Immersive Media (3D, AR and VR)
Real-time, Web- and Cloud applications
Business aspects of quality management
5G and QoE
Network slicing for quality management
Edge-computing for quality management
QoE guarantees in 5G end-to-end network slices
QoE oriented coding
Streaming aware video encoding
QoE oriented coding for multimedia streaming
Energy aware media coding and decoding
Experimental approaches for QoE management
Subjective studies in commercial settings and controlled lab environments
Experimental facilities for evaluation of algorithms and services in QoE management