MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
QoS impact on user perception and understanding of multimedia video clips
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
SAVE: an algorithm for smoothed adaptive video over explicit rate networks
IEEE/ACM Transactions on Networking (TON)
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Control: Analysis and Design
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Distributed Multimedia and QOS: A Survey
IEEE MultiMedia
End-Host Architecture for QoS-Adaptive Communication
RTAS '98 Proceedings of the Fourth IEEE Real-Time Technology and Applications Symposium
Transporting Compressed Video Over ATM Networks with Explicit Rate Feedback Control
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
QoS Scalability for Streamed Media Delivery
QoS Scalability for Streamed Media Delivery
Filters: QoS support mechanisms for multipeer communications
IEEE Journal on Selected Areas in Communications
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
Formalization of Network Quality-of-Service Requirements
FORTE '07 Proceedings of the 27th IFIP WG 6.1 international conference on Formal Techniques for Networked and Distributed Systems
Evaluating Streaming Rate Controllers: A Support Tool
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Rate control performance under end-user's perspective: a test tool
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
QoS-based management of multiple shared resource in dynamic real-time systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Resource adaptation for mobile AV devices in the UPnP QoS arcitecture
Journal of Mobile Multimedia
Adaptare: Supporting automatic and dependable adaptation in dynamic environments
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Hierarchical adaptive QoS control for voting-based data collection in hostile scenarios
Proceedings of the 8th International Conference on Network and Service Management
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In this paper we describe a fuzzy-control approach for quality of service (QoS) adaptation, needed in distributed multimedia applications. QoS adaptation is necessary (a) due to sudden variations in network resource availability, especially in the case of Internet, and (b) due to multiple applications requiring shared resource such as bandwidth. To solve the problem of QoS adaptation, several sub-problems need to be considered: (1) mapping of user perception and different combinations of application QoS values onto a uniform quality metric, (2) estimation, control and adjustment of application QoS parameters in case of network and other resource congestion, and (3) enforcement algorithm which reacts according to adapted QoS parameters. Our approach is to solve the QoS adaptation using the integration of (a) quality degree function, which maps the application QoS parameters into a metric, called quality degree, (b) fuzzy controller, which controls, estimates and adjusts the application QoS parameters according to resource availability, and (c) filter algorithms, which are the services to enforce the adapted QoS parameters. The quality degree function associates quality degree as the quality measure with different combinations of application QoS values. This function is influenced by the user’s perception of quality. The fuzzy control takes the results of the quality degree function, estimates the new quality degree and its corresponding quality level, predicts the new application QoS parameters, and adjusts them. The results of the adapted QoS parameters are then used by the filter algorithms to enforce the changes, proposed by the fuzzy controller, by allocating bandwidth to the application according to its QoS parameter values. We have implemented and applied the quality degree function, the fuzzy controller, and the filter algorithms to the video distribution system (VDS). The results of VDS over the local area network show that (1) the target system improves user perceived QoS at the receivers, and (2) the bandwidth utilization increases significantly when using our fuzzy-control approach for QoS adaptation.