Quality of Experience (QoE) is a topic that has been gaining importance in a large variety of research domains, ranging from networking to media processing to social sciences. In particular, much attention so far has been devoted to the development of methods for reliably assessing and estimating the QoE of networked media and communication services as well as to understanding how user-perceived quality actually depends on the performance of the underlying technical infrastructure.

However, being able to accurately understand, model and predict QoE is of value only if these capabilities are also properly exploited. In this respect, we witness substantial demand for applying user-centric quality concepts to real-world communication systems. Firstly, there is constant proliferation of new services / applications that have ever-increasing demands from the network and add to its load. Secondly, network operators and service providers are struggling to keep their increasingly sophisticated customers happy while remaining profitable at the same time. In this respect, we must also consider novel QoE monitoring solutions as they represent key enablers for managing the customer experience.

Against this background, the QoENAM workshop aims to provide an international forum for addressing the benefits and challenges of applying the end-user perspective to the management of current and future communication networks and services. While there are already some proposed solutions geared towards Quality of Experience (QoE) or Customer Experience driven network and application management in the literature, their real-world application is still lacking due to the sheer complexity of deploying them. Bringing practitioners and academics together is key to addressing these issues and it is therefore also one of the goals of this workshop.

We encourage submission of original, unpublished research focused on (but not limited to) the following topics of interest:

• QoE-driven network management
• QoE-driven service management
• QoE-driven resource control and service optimization in wireless and wireline networks
• Management of fundamental trade-offs between QoS, QoE, efficiency and fairness of resource allocation
• Impact evaluation of network- and application-level quality optimization mechanisms
• QoE management for OTT services
• Self-* and cognitive network approaches for QoE-driven management
• Mechanisms and APIs for inter-domain QoE management
• Large-scale distributed QoE monitoring (including IoT-based mechanisms)
• Integration of QoE in infrastructure and service quality monitoring solutions
• Evaluation of the impact of network- and application-level quality optimization mechanisms (e.g. MPEG DASH, media-aware network elements, etc.)
• Case studies and lessons learned from real-world deployments
• QoE for Cloud service and infrastructure management
• QoE-based SLAs
• QoE management and service pricing

Organizing Committee

General Chairs