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On the analytic assessment of the impact of traffic correlation on queues in continuous time domain
Affiliation:1. David Geffen School of Medicine at UCLA, Department of Pediatrics, Division of Neonatology & Developmental Biology, Neonatal Research Center of the UCLA Children''s Discovery and Innovation Institute, 10833 Le Conte Avenue, MDCC 22-412, Los Angeles, CA, 90095, USA;2. David Geffen School of Medicine at UCLA, Department of Pathology, 4525 MacDonald Research Laboratories, Los Angeles, CA, 90095, USA;3. Department of Molecular, Cell, and Developmental Biology, 3000 Terasaki Life Sciences Building, 610 Charles Young Drive East, Los Angeles, CA, 90095, USA;1. Canada Excellence Research Chair in Data Science for Real-time Decision-making, École Polytechnique de Montréal, Canada;2. Concordia University and Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Montréal, Canada;3. HEC Montréal and Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Montréal, Canada
Abstract:
Keywords:Queueing  Traffic modelling  Generalized exponential (GE)  Shifted generalized geometric (sGGeo)  Batch Renewal Arrival Process (BRAP)  Batch Markovian Arrival Process (BMAP)
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