Improving the performance of polling models using forced idle times
Oberseminar Darmstadt
Sebastian Schwinn
Datum: 21.12.2017
Zeit: 16:15 Uhr
Abstract: Polling models are multiple queue, cyclic service systems which are served by one server. In our case, the feature of the server is that it may be forced to wait idly for new jobs at an empty queue instead of switching to the next station. We propose different wait-and-see strategies that govern these waiting periods. We assume Poisson arrivals for new jobs and allow general service and switchover time distributions. A performance measure of interest is the mean average queueing delay. The results are formulas for this delay and characterisations of the cases where the wait-and-see strategies yield a lower delay compared to the exhaustive strategy.
Referent
- Sebastian Schwinn, TU Darmstadt
Ort
- TU Darmstadt | Raum S2|15 401
- Schlossgartenstraße 7, 64289 Darmstadt
Veranstalter
- Technische Universität Darmstadt
Fachbereich Mathematik - Stochastik
Schlossgartenstraße 7
64289 Darmstadt
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