scholarly journals Regenerative simulation methods for multiserver systems

2018 ◽  
pp. 68
Author(s):  
Александр Сергеевич Румянцев ◽  
Ирина Валерьевна Пешкова ◽  
Alexander Rumyantsev ◽  
Irina Peshkova
Keyword(s):  
Simulation Methods ◽  
Regenerative Simulation

Regenerative Simulation Methods for Local Area Computer Networks.

1984 ◽  
Author(s):  
P. J. Haas ◽  
G. S. Shedler
Keyword(s):  
Computer Networks ◽  
Local Area ◽  
Simulation Methods ◽  
Regenerative Simulation

Statistical efficiency of regenerative simulation methods for networks of queues

1983 ◽  
Vol 15 (1) ◽  
pp. 183-197 ◽  
Author(s):  
Donald L. Iglehart ◽  
Gerald S. Shedler
Keyword(s):  
Passage Time ◽  
General Function ◽  
Simulation Methods ◽  
Statistical Efficiency ◽  
Multiclass Networks ◽  
Regenerative Simulation ◽  
Time Information ◽  
General Service ◽  
Networks Of Queues ◽  
Passage Times

This paper is concerned with the assessment of the statistical efficiency of proposed regenerative simulation methods. We compare the efficiency of the ‘marked job' and ‘labelled jobs' methods for estimation of passage times in multiclass networks of queues with general service times. Using central limit theorem arguments, we show that the confidence intervals constructed for the expected value of a general function of the limiting passage time using the labelled jobs method are shorter than those obtained from the marked job method. This is consistent with intuition since the labelled jobs method extracts more passage-time information from a fixed-length simulation run.

Regenerative simulation methods for local area computer networks

1985 ◽  
Vol 29 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Peter J. Haas ◽  
Gerald S. Shedler
Keyword(s):  
Computer Networks ◽  
Local Area ◽  
Simulation Methods ◽  
Regenerative Simulation

Statistical efficiency of regenerative simulation methods for networks of queues

1983 ◽  
Vol 15 (01) ◽  
pp. 183-197 ◽  
Author(s):  
Donald L. Iglehart ◽  
Gerald S. Shedler
Keyword(s):  
Passage Time ◽  
General Function ◽  
Simulation Methods ◽  
Statistical Efficiency ◽  
Multiclass Networks ◽  
Regenerative Simulation ◽  
Time Information ◽  
General Service ◽  
Networks Of Queues ◽  
Passage Times

This paper is concerned with the assessment of the statistical efficiency of proposed regenerative simulation methods. We compare the efficiency of the ‘marked job' and ‘labelled jobs' methods for estimation of passage times in multiclass networks of queues with general service times. Using central limit theorem arguments, we show that the confidence intervals constructed for the expected value of a general function of the limiting passage time using the labelled jobs method are shorter than those obtained from the marked job method. This is consistent with intuition since the labelled jobs method extracts more passage-time information from a fixed-length simulation run.

Critical issues in driving simulation methods and measures

2004 ◽  
Author(s):  
Jeff Caird ◽  
Matthew Rizzo ◽  
Peter Hancock
Keyword(s):  
Driving Simulation ◽  
Simulation Methods ◽  
Critical Issues

Backward Simulation Methods for Monte Carlo Statistical Inference

2013 ◽  
Author(s):  
Fredrik Lindsten
Keyword(s):  
Monte Carlo ◽  
Statistical Inference ◽  
Simulation Methods

Development of Numerical Simulation Methods for Analysis of Laser Guided Arc Discharge

2008 ◽  
Author(s):  
William Page ◽  
Brian Fisk ◽  
William Zimmerman
Keyword(s):  
Numerical Simulation ◽  
Arc Discharge ◽  
Simulation Methods ◽  
Numerical Simulation Methods

SIMULATION METHODS FOR FLOOD DAMAGE AND SCOUR DAMAGE ON LAND BY HUGE TSUNAMI

2018 ◽  
Vol 74 (2) ◽  
pp. I_193-I_198
Author(s):  
Yoshimichi YAMAMOTO ◽  
Maiki HAYAKAWA ◽  
S Masihullah AHMADI
Keyword(s):  
Flood Damage ◽  
Simulation Methods
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