Package jline.api.cache

Class Cache_miss_isKt

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    • Field Summary

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      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      final static Ret.cacheMissSpm cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda, Integer samples) Computes cache miss rates using Monte Carlo importance sampling.

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

    • Constructor Detail

    • Method Detail

      • cache_miss_is

         final static Ret.cacheMissSpm cache_miss_is(Matrix gamma, Matrix m, MatrixCell lambda, Integer samples)

        Computes cache miss rates using Monte Carlo importance sampling.

        Parameters:
        gamma - Matrix representing the cache access factors (n x h).
        m - Matrix representing the cache capacity vector (1 x h).
        lambda - MatrixCell representing the request rates for different users or items.
        samples - Number of Monte Carlo samples (default: 100000).
        Returns:

        Ret.cacheMissSpm containing miss rate metrics (M, MU, MI, pi0, lE).