Polling Systems in Heavy Traffic: a Bessel Process Limit
Mathematics of Operations Research
A Practical Scheduling Method for Multiclass Production Systems with Setups
Management Science
Polling systems in heavy traffic: Exhaustiveness of service policies
Queueing Systems: Theory and Applications
Dynamic Scheduling of a Two-Class Queue with Setups
Operations Research
Heavy Traffic Analysis of Polling Systems in Tandem
Operations Research
Heavy Traffic Analysis of the Dynamic Stochastic Inventory-Routing Problem
Transportation Science
Operations Research Letters
Mean value analysis for polling systems in heavy traffic
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Polling models with renewal arrivals: A new method to derive heavy-traffic asymptotics
Performance Evaluation
Heavy traffic analysis of polling models by mean value analysis
Performance Evaluation
Probability in the Engineering and Informational Sciences
On a unifying theory on polling models in heavy traffic
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Closed-form waiting time approximations for polling systems
Performance Evaluation
A note on polling models with renewal arrivals and nonzero switch-over times
Operations Research Letters
Polling systems with batch service
OR Spectrum
Manufacturing & Service Operations Management
Waiting times in queueing networks with a single shared server
Queueing Systems: Theory and Applications
Scheduling in polling systems in heavy traffic
ACM SIGMETRICS Performance Evaluation Review - Special issue on the 31st international symposium on computer performance, modeling, measurements and evaluation (IFIPWG 7.3 Performance 2013)
Hi-index | 0.00 |
This paper considers heavy-traffic limit theorems for polling models with periodic server routing with general renewal arrivals and mixtures of gated and exhaustive service policies. We provide a strong conjecture for the limiting waiting-time distribution in a general parameter setting when the load tends to 1, under proper heavy-traffic scalings.