How to improve the performance of ATM multiplexers

zbMath1057.60503MaRDI QIDQ1306373

Nicole Bäuerle

Publication date: 1999

Published in: Operations Research Letters (Search for Journal in Brave)

zbMATH Keywords

Sensitivity analysisThroughputStochastic orderingStochastic fluid modelsCell lossEffect of correlations

Mathematics Subject Classification ID

Applications of queueing theory (congestion, allocation, storage, traffic, etc.) (60K30)

Related Items (1)

Convexity properties of loss and overflow functions.

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Design of manufacturing systems using queueing models
• The advantage of small machines in a stochastic fluid production process
• Discrete storage processes and their Poisson flow and fluid flow approximations
• Inequalities for stochastic models via supermodular orderings
• Integration of Discrete-Time Correlated Markov Processes in a TDM System
• Stochastic theory of a fluid model of producers and consumers coupled by a buffer
• A monotonicity result for the workload in Markov-modulated queues
• Comparison Results for Markov-Modulated Recursive Models

This page was built for publication: How to improve the performance of ATM multiplexers