Package jline.api.qsys

Class Qsys_mg1k_loss_mgs

java.lang.Object

jline.api.qsys.Qsys_mg1k_loss_mgs

public final class Qsys_mg1k_loss_mgs
extends Object

Method Summary

Modifier and Type	Method	Description
static HashMap<String,Object>	qsys_mg1k_loss_mgs(double lambda, double mu, double mu_scv, int K)	M/G/1/K loss probability using MacGregor Smith approximation.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

qsys_mg1k_loss_mgs

public static HashMap<String,Object> qsys_mg1k_loss_mgs(double lambda,
 double mu,
 double mu_scv,
 int K)

M/G/1/K loss probability using MacGregor Smith approximation. Calculates the loss probability for an M/G/1/K queue using the MacGregor Smith approximation method. Reference: J. MacGregor Smith - Optimal Design and Performance Modelling of M/G/1/K Queueing Systems

Parameters:

lambda - arrival rate

mu - mean service rate (1/mean service time)

mu_scv - squared coefficient of variation of service time

K - system capacity (maximum number of customers)

Returns:

HashMap containing lossprob (loss probability) and rho (utilization)