Structuring Communication Software for Quality-of-Service Guarantees
IEEE Transactions on Software Engineering
On programmable universal mobile channels in a cellular Internet
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Load Estimation and Control in Best-Effort Network Domains
Journal of Network and Systems Management
Augmented Reliable Multicast CORBA Event Service (ARMS): A QoS-Adaptive Middleware
IDMS '00 Proceedings of the 7th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services
Adaptable QoS management communication architectures for user perception
Adaptive evolutionary information systems
Revealing delay in collaborative environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adaptive up-sampling method using DCT for spatial scalability of scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
An approach for end-to-end QoS and network resources management
Computer Standards & Interfaces
Adaptive call admission control for QoS provisioning in multimedia wireless networks
Computer Communications
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By trading off temporal and spatial quality with available bandwidth, or manipulating the payout time of continuous media in response to variation in delay, audio and video flows can be made to adapt to fluctuating network conditions with minimal perceptual distortion. The authors describe the implementation of an adaptive transport system that incorporates a quality of service (QoS) oriented application programming interface (API) and a range of QoS mechanisms that best assist multimedia applications in adapting to fluctuations in the delivered network QoS. The system, which is an instantiation of the transport and network layers of a QoS architecture, is implemented in a multi-ATM switch network environment with Linux-based PC end systems and continuous media file servers. A performance evaluation of the system configured to support a video-on-demand application scenario is presented and discussed. A novel aspect of the system is the implementation of a “QoS adaptation” algorithm which allows applications to delegate to the transport system responsibility for augmenting or reducing the perceptual quality of video and audio flows when network resource increases or decreases, respectively