Package jline.api.qsys
Class Qsys_mg1k_loss_mgsKt
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- All Implemented Interfaces:
public final class Qsys_mg1k_loss_mgsKt
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Method Summary
Modifier and Type Method Description final static HashMap<String, Object>
qsys_mg1k_loss_mgs(Double lambda, Double mu, Double mu_scv, Integer K)
M/G/1/K loss probability using MacGregor Smith approximationCalculates the loss probability for an M/G/1/K queue using the MacGregor Smith approximation method. -
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Method Detail
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qsys_mg1k_loss_mgs
final static HashMap<String, Object> qsys_mg1k_loss_mgs(Double lambda, Double mu, Double mu_scv, Integer 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 ratemu
- mean service rate (1/mean service time)mu_scv
- squared coefficient of variation of service timeK
- system capacity (maximum number of customers)- Returns:
HashMap containing lossprob (loss probability) and rho (utilization)
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