Discrete flow networks: bottleneck analysis and fluid approximations
Mathematics of Operations Research
Queueing Systems: Theory and Applications
A fluid model for systems with random disruptions
Operations Research - Supplement to Operations Research: stochastic processes
Dynamic scheduling of a multiclass fluid network
Operations Research
Upper and lower bounds for the multiplexing of multiclass Markovian on/off sources
Performance Evaluation
Exponential bounds with applications to call admission
Journal of the ACM (JACM)
Modeling and analysis of stochastic systems
Modeling and analysis of stochastic systems
Admission control of multi-class traffic with service priorities in high-speed networks
Queueing Systems: Theory and Applications
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
First Passage Times in Fluid Models with an Application to Two Priority Fluid Systems
IPDS '96 Proceedings of the 2nd International Computer Performance and Dependability Symposium (IPDS '96)
IEEE Journal on Selected Areas in Communications
Applications of SMP Bounds to Multi-class Traffic in High-speed Networks
Queueing Systems: Theory and Applications
A Note on Bounds in the SMP Fluid Models
Queueing Systems: Theory and Applications
Stochastic fluid flow models for determining optimal switching thresholds
Performance Evaluation
On Queues with Markov Modulated Service Rates
Queueing Systems: Theory and Applications
Two-buffer fluid models with multiple ON-OFF inputs and threshold assistance
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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In this paper we consider an infinite buffer fluid model whose input is driven by independent semi-Markov processes. The output capacity of the buffer is a constant. We derive upper and lower bounds for the limiting distribution of the stationary buffer content process. We discuss examples and applications where the results can be used to determine bounds on the loss probability in telecommunication networks.