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  • Search: subject:"large deviations asymptotics"
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Year of publication
Subject
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buffer overflow 8 large deviations asymptotics 8 long-range dependence 8 queueing theory 8 Statistische Verteilung 4 Warteschlangentheorie 4 heavy-tailed distributions 4 heavy-tailed random variables 4 importance sampling 4 packet networking 4 Queueing theory 2 Statistical distribution 2 Theorie 2 Computernetz 1 Internet 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Probability theory 1 Random variable 1 Sampling 1 Simulation 1 Stichprobenerhebung 1 Stochastic process 1 Stochastischer Prozess 1 Time series analysis 1 Wahrscheinlichkeitsrechnung 1 Zeitreihenanalyse 1 Zufallsvariable 1
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Online availability
All
Free 8
Type of publication
All
Book / Working Paper 8
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
All
English 4 Undetermined 4
Author
All
Boots, Nam Kyoo 8 Mandjes, Michel 8
Institution
All
Tinbergen Institute 2 Tinbergen Instituut 2
Published in...
All
Tinbergen Institute Discussion Papers 4 Discussion paper / Tinbergen Institute 2 Tinbergen Institute Discussion Paper 2
Source
All
RePEc 4 ECONIS (ZBW) 2 EconStor 2
Showing 1 - 8 of 8
Cover Image
The Shape of the Loss Curve and the Impact of Long-Range Dependence on Network Performance
Mandjes, Michel; Boots, Nam Kyoo - 2001
Empirical studies showed that many types of network traffic exhibit long-range dependence (LRD),i.e., burstiness on a wide variety of time-scales. Given that traffic streams are indeed endowed withLRD properties, a next question is: what is their impact on network performance? To assess...
Persistent link: https://www.econbiz.de/10010324772
Saved in:
Cover Image
Fast Simulation of a Queue fed by a Superposition of Many (Heavy-Tailed) Sources
Boots, Nam Kyoo; Mandjes, Michel - 2001
We consider a queue fed by a large number, say n, of on-off sources with generally distributed on-and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc.The model is versatile: it allows us to model both long range dependent traffic (by using heavy-tailed...
Persistent link: https://www.econbiz.de/10010325017
Saved in:
Cover Image
The Shape of the Loss Curve and the Impact of Long-Range Dependence on Network Performance
Mandjes, Michel; Boots, Nam Kyoo - Tinbergen Institute - 2001
Empirical studies showed that many types of network traffic exhibit long-range dependence (LRD), i.e., burstiness on a wide variety of time-scales. Given that traffic streams are indeed endowed with LRD properties, a next question is: what is their impact on network performance? To assess this...
Persistent link: https://www.econbiz.de/10005504915
Saved in:
Cover Image
The Shape of the Loss Curve and the Impact of Long-Range Dependence on Network Performance
Mandjes, Michel; Boots, Nam Kyoo - Tinbergen Instituut - 2001
Empirical studies showed that many types of network traffic exhibit long-range dependence (LRD),i.e., burstiness on a wide variety of time-scales. Given that traffic streams are indeed endowed withLRD properties, a next question is: what is their impact on network performance? To assess...
Persistent link: https://www.econbiz.de/10011257410
Saved in:
Cover Image
Fast Simulation of a Queue fed by a Superposition of Many (Heavy-Tailed) Sources
Boots, Nam Kyoo; Mandjes, Michel - Tinbergen Instituut - 2001
We consider a queue fed by a large number, say n, of on-off sources with generally distributed on-and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc.The model is versatile: it allows us to model both long range dependent traffic (by using heavy-tailed...
Persistent link: https://www.econbiz.de/10011257416
Saved in:
Cover Image
Fast Simulation of a Queue fed by a Superposition of Many (Heavy-Tailed) Sources
Boots, Nam Kyoo; Mandjes, Michel - Tinbergen Institute - 2001
We consider a queue fed by a large number, say n, of on-off sources with generally distributed on- and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc. The model is versatile: it allows us to model both long range dependent traffic (by using heavy-...
Persistent link: https://www.econbiz.de/10005281775
Saved in:
Cover Image
The shape of the loss curve and the impact of long-range dependence on network performance
Mandjes, Michel; Boots, Nam Kyoo - 2001
Empirical studies showed that many types of network traffic exhibit long-range dependence (LRD),i.e., burstiness on a wide variety of time-scales. Given that traffic streams are indeed endowed withLRD properties, a next question is: what is their impact on network performance? To assess...
Persistent link: https://www.econbiz.de/10011316864
Saved in:
Cover Image
Fast simulation of a queue fed by a superposition of many (heavy-tailed) sources
Boots, Nam Kyoo; Mandjes, Michel - 2001
We consider a queue fed by a large number, say n, of on-off sources with generally distributed on-and off-times. The queueing resources are scaled by n: the buffer is B=nb and link rate is C=nc.The model is versatile: it allows us to model both long range dependent traffic (by using heavy-tailed...
Persistent link: https://www.econbiz.de/10011316865
Saved in:
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