Mathematica: a system for doing mathematics by computer (2nd ed.)
Mathematica: a system for doing mathematics by computer (2nd ed.)
The Rapport multimedia communication system (demonstration)
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multimedia Systems
HeiRAT—quality-of-service management for distributed multimedia systems
Multimedia Systems
Quality-of-service adaptation in distributed multimedia applications
Multimedia Systems
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Distributed Multimedia and QOS: A Survey
IEEE MultiMedia
Quality of Service in Distributed Multimedia Systems
TreDS '96 Proceedings of the International Workshop on Trends in Distributed Systems: CORBA and Beyond
Resource sharing for multi-party real-time communication
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
Admission control for statistical QoS: theory and practice
IEEE Network: The Magazine of Global Internetworking
IEEE Network: The Magazine of Global Internetworking
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In this paper we introduce a new model for the definition and the implementation of quality of service (QoS) in distributed multimedia systems. The model provides both the users and the provider/manager of the system with a framework for the high level description of the system's configuration and operation, as well as with an application/user specific definition of QoS. The model maps this high level QoS description to quality requirements for the individual resources that compose the overall service. The implementation of the QoS of the overall service is done by providing probability of availability guarantees for certain levels of QoS. Given some constraints on the total assets available for the implementation of a specific service, the model optimally allocates these assets to the system resources in order to implement a specific user/application QoS profile. The model is reduced to a General Asset Allocation Problem (GA2P) and we solve the GA2P in a provably optimal way for a wide range of realistic services.