Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Specification, Mapping and Control for QoS Adaptation
Real-Time Systems
QoS Control Using Adaptive Layered Data Transmission
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
A QoS-Based Framework for Distributed Content Adaptation
QSHINE '04 Proceedings of the First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Advanced multimedia management - control model and content adaptation
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Bitstream syntax description-based adaptation in streaming and constrained environments
IEEE Transactions on Multimedia
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
Incentive-compatible adaptation of Internet real-time multimedia
IEEE Journal on Selected Areas in Communications
A QoS-based service retrieval methodology for digital ecosystems
International Journal of Web and Grid Services
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Distributed multimedia applications increasingly populate Audio-Visual (AV) mobile and desktop devices. Crucial to the success of these applications is the delivery of Quality of Service (QoS) which often refers to resource reservation on devices and network links. Resource reservation is usually ensured by an appropriate admission control (AC) that determines if another request for resources can be granted without interfering already accepted traffic flows and processing resources. If an AC cannot be processed or cannot grant the requested resources, proactive measures like resource adaptation may control the resource requirements of particular flows. Resource adaptation adjusts the resource demands of the application according to the available resources. This paper presents a flexible and hybrid resource adaptation framework for multimedia applications that is incorporated into the UPnP QoS architecture. Furthermore, a simple methodology for controlling resource adaptation in mobile networks and devices is presented. An implementation of resource adaptation proves that the resource utilization is optimized and the QoS can be effectively maintained even in overloaded conditions.