Package jline.api.lossn

package jline.api.lossn
APIs for stochastic models of loss networks and blocking systems.

This package contains algorithms and methods for analyzing queueing systems where jobs can be blocked or lost when resources are unavailable. It supports analysis of finite-capacity systems and blocking probabilities.

Since:
LINE 2.0
  • Classes
    Class
    Description
    Lossn_erlangfp
     
    Lossn_manjunath
    Exact normalization constant, carried load and blocking of a loss network by the transform technique of Manjunath and Sikdar.
    Lossn_mci
    Monte Carlo importance-sampling summation for loss networks, after Ross and Wang, "Monte Carlo Summation Applied to Product-Form Loss Networks", Probability in the Engineering and Informational Sciences, 6 (1992), 323-348.
    Lossn_rec
    Exact analysis of a loss network by MDD-rec: the normalising constant is the sum of a product form over the admissible set {n >= 0 : A n <= C}, which is what a decision diagram holding that set computes in one memoised walk.
    Lossn_rec.LossnRecResult
    Carried load, blocking, log normalising constant and walk count.