Class Qsys_mg1k_loss_mgsKt

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      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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        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

    • Method Detail

      • 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 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)