Multilayer feedforward networks are universal approximators
Neural Networks
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
A quality-of-service specification for multimedia presentations
Multimedia Systems - Special issue on multimedia database systems
QOSME: QOS management environment
QOSME: QOS management environment
Proceedings of the 1998 conference on Advances in neural information processing systems II
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Providing End-to-End QoS Assurances in CORBA-Based System
ISORC '98 Proceedings of the The 1st IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
AQUILA: adaptive resource control for QoS using an IP-based layered architecture
IEEE Communications Magazine
Rate regulation with feedback controller in ATM networks-a neural network approach
IEEE Journal on Selected Areas in Communications
A flexible middleware for multimedia communication: design, implementation, and experience
IEEE Journal on Selected Areas in Communications
A control-based middleware framework for quality-of-service adaptations
IEEE Journal on Selected Areas in Communications
Predictive dynamic bandwidth allocation for efficient transport of real-time VBR video over ATM
IEEE Journal on Selected Areas in Communications
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The Internet continues to evolve into a network that supports a wide spectrum of applications with diverse requirements. The introduction of multimedia poses delay, throughput and packet loss requirements towards the network and makes the provision of QoS a very important issue. In this paper, we present the concept of Dynamic Application Profiles for the transparent support of QoS in the Internet. The paper builds on existing work on a distributed QoS architecture, and uses intelligent mechanisms, such as Neural Networks, in an effort to provide dynamic QoS to network applications in a fashion comprehensible to the average end user.