Class SolverMAMFJKt

    • Nested Class Summary

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      Modifier and Type Class Description
    • Field Summary

      Fields 
      Modifier and Type Field Description
    • Constructor Summary

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      Constructor Description
    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
    • Method Summary

      Modifier and Type Method Description
      final static MAMFJResult solverMAMFJ(NetworkStruct sn, DoubleArray percentiles, Integer C, String tMode) Solve Fork-Join network using FJ_codes algorithmAutomatically detects FJ topology and computes response time percentiles using the algorithm from "Beyond the Mean in Fork-Join Queues" (IFIP Performance 2015).
      final static Double interpolatePercentile(DoubleArray storedPercentiles, DoubleArray storedValues, Double targetPercentile) Interpolate percentile from stored results
      • Methods inherited from class java.lang.Object

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

    • Method Detail

      • solverMAMFJ

         final static MAMFJResult solverMAMFJ(NetworkStruct sn, DoubleArray percentiles, Integer C, String tMode)

        Solve Fork-Join network using FJ_codes algorithm

        Automatically detects FJ topology and computes response time percentiles using the algorithm from "Beyond the Mean in Fork-Join Queues" (IFIP Performance 2015).

        Parameters:
        sn - Network structure
        percentiles - Percentile levels to compute (0-1 scale, e.g.
        C - Accuracy parameter (default: 100)
        tMode - T-matrix method: "NARE" or "Sylvest" (default: "NARE")
        Returns:

        MAMFJResult with performance metrics and percentiles

      • interpolatePercentile

         final static Double interpolatePercentile(DoubleArray storedPercentiles, DoubleArray storedValues, Double targetPercentile)

        Interpolate percentile from stored results

        Parameters:
        storedPercentiles - Stored percentile levels (0-100 scale)
        storedValues - Stored percentile values
        targetPercentile - Target percentile to interpolate (0-100 scale)
        Returns:

        Interpolated value