queueing-systems.ens-lyon.fr

Numerical Solutions for Queueing Systems

Solutions to Queueing Systems. Simple and computationally efficient solutions for the evaluation of the steady-state queue length distribution. How to use this tool? This site presents some of our work related to the numerical analysis of queueing systems. We provide the solution for some classical models of queues. The solution to this queue with multiple servers is fast, based on a simple recurrence and numerically stable. For more information: [1]. The source code (in C). For more information: [3].

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Numerical Solutions for Queueing Systems | queueing-systems.ens-lyon.fr Reviews

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Solutions to Queueing Systems. Simple and computationally efficient solutions for the evaluation of the steady-state queue length distribution. How to use this tool? This site presents some of our work related to the numerical analysis of queueing systems. We provide the solution for some classical models of queues. The solution to this queue with multiple servers is fast, based on a simple recurrence and numerically stable. For more information: [1]. The source code (in C). For more information: [3].

<META> KEYWORDS

1 the g/m/c

2 like queue

3 solve the g/m/c

4 queue

5 download

6 the m/g/1

7 solve the m/g/1

8 the m/g/c

9 like queue new

10 solve the m/g/c

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Numerical Solutions for Queueing Systems | queueing-systems.ens-lyon.fr Reviews

https://queueing-systems.ens-lyon.fr

Solutions to Queueing Systems. Simple and computationally efficient solutions for the evaluation of the steady-state queue length distribution. How to use this tool? This site presents some of our work related to the numerical analysis of queueing systems. We provide the solution for some classical models of queues. The solution to this queue with multiple servers is fast, based on a simple recurrence and numerically stable. For more information: [1]. The source code (in C). For more information: [3].

INTERNAL PAGES

queueing-systems.ens-lyon.fr

1

Solving the steady-state number of customers in a queue

http://queueing-systems.ens-lyon.fr/formGMC.php

Steady-state solution to the G/M/c. To get started, select one of these examples, then press the "Submit" button:. 1) Type in the parameters of the queue. Maximum number in system (buffer servers). 2) Select the service time. 3) Select the inter-arrival time. Its mean and coefficient of variation. Or a specific Coxian distribution. Number of phases (max=10). Arrivals follow a Coxian distribution with 2 stages with λ. Arrivals follow a simple Poisson process with rate λ. Stages at rate λ.

2

Numerical Solutions for Queueing Systems

http://queueing-systems.ens-lyon.fr/download.html

To get the source code (coded in a C program), please send an e-mail to thomas dot begin at ens-lyon dot fr. Or to alexb at soe dot ucsc dot edu.

3

Solving the steady-state number of customers in a queue

http://queueing-systems.ens-lyon.fr/formGGC.php

Steady-state solution to the G/G/C/N. To get started, select one of these examples, then press the "Submit" button:. 1) Type in the parameters of the queue. Maximum number in system (buffer server). 2) Select the inter-arrival time. Its mean and coefficient of variation. Or a specific Coxian distribution. Mean time between arrivals. Number of phases (max=10). Arrivals follow a Coxian distribution with 2 stages with λ. Services follow a simple Exponential distribution with rate μ. Stages at rate μ.

4

Solving the steady-state number of customers in a queue

http://queueing-systems.ens-lyon.fr/formMGC.php

Steady-state solution to the M/G/C/N. To get started, select one of these examples, then press the "Submit" button:. 1) Type in the parameters of the queue. Maximum number in system (buffer server). 2) Select the inter-arrival time. Mean time between two arrivals. 3) Select the service time. Its mean and coefficient of variation. Or a specific Coxian distribution. Number of phases (max=10). Services follow a Coxian distribution with 2 stages with μ. Stages at rate μ.

5

Solving the steady-state number of customers in a queue

http://queueing-systems.ens-lyon.fr/formMG1.php

Steady-state solution to the M/G/1. To get started, select one of these examples, then press the "Submit" button:. 1) Type in the parameters of the queue. Maximum number in system (buffer server). 2) Select the inter-arrival time. Mean time between two arrivals. 3) Select the service time. Its mean and coefficient of variation. Or a specific Coxian distribution. Number of phases (max=10). Arrivals follow a Coxian distribution with 2 stages with μ. Stages at rate μ.

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Numerical Solutions for Queueing Systems

Solutions to Queueing Systems. Simple and computationally efficient solutions for the evaluation of the steady-state queue length distribution. How to use this tool? This site presents some of our work related to the numerical analysis of queueing systems. We provide the solution for some classical models of queues. The solution to this queue with multiple servers is fast, based on a simple recurrence and numerically stable. For more information: [1]. The source code (in C). For more information: [3].

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