CRITIQUEUE
Critical queues and reflected stochastic processes
| Coordinatore | TECHNISCHE UNIVERSITEIT EINDHOVEN
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | Netherlands [NL] |
| Totale costo | 970˙800 € |
| EC contributo | 970˙800 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2010-StG_20091028 |
| Funding Scheme | ERC-SG |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-08-01 - 2016-07-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
TECHNISCHE UNIVERSITEIT EINDHOVEN
Organization address
address: DEN DOLECH 2 contact info |
NL (EINDHOVEN) | hostInstitution | 970˙800.00 |
| 2 |
TECHNISCHE UNIVERSITEIT EINDHOVEN
Organization address
address: DEN DOLECH 2 contact info |
NL (EINDHOVEN) | hostInstitution | 970˙800.00 |
Mappa
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Obiettivo del progetto (Objective)
'Our primary motivation stems from queueing theory, the branch of applied probability that deals with congestion phenomena. Congestion levels are typically nonnegative, which is why reflected stochastic processes arise naturally in queueing theory. Other applications of reflected stochastic processes are in the fields of branching processes and random graphs. We are particularly interested in critically-loaded queueing systems (close to 100% utilization), also referred to as queues in heavy traffic. Heavy-traffic analysis typically reduces complicated queueing processes to much simpler (reflected) limit processes or scaling limits. This makes the analysis of complex systems tractable, and from a mathematical point of view, these results are appealing since they can be made rigorous. Within the large body of literature on heavy-traffic theory and critical stochastic processes, we launch two new research lines: (i) Time-dependent analysis through scaling limits. (ii) Dimensioning stochastic systems via refined scaling limits and optimization. Both research lines involve mathematical techniques that combine stochastic theory with asymptotic theory, complex analysis, functional analysis, and modern probabilistic methods. It will provide a platform enabling collaborations between researchers in pure and applied probability and researchers in performance analysis of queueing systems. This will particularly be the case at TU/e, the host institution, and at the affiliated institution EURANDOM.'