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 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.

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 *

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 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or

 * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License

 * version 2 for more details (a copy is included in the LICENSE file that

 * accompanied this code).

 *

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 * 2 along with this work; if not, write to the Free Software Foundation,

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#ifndef SHARE_VM_GC_G1_G1PREDICTIONS_HPP

#define SHARE_VM_GC_G1_G1PREDICTIONS_HPP

#include "utilities/numberSeq.hpp"

// Utility class containing various helper methods for prediction.

class G1Predictions {

 private:

  double _sigma;

  // This function is used to estimate the stddev of sample sets. There is some

  // special consideration of small sample sets: the actual stddev for them is

  // not very useful, so we calculate some value based on the sample average.

  // Five or more samples yields zero (at that point we use the stddev); fewer

  // scale the sample set average linearly from two times the average to 0.5 times

  // it.

  double stddev_estimate(TruncatedSeq const* seq) const {

    double estimate = seq->dsd();

    int const samples = seq->num();

    if (samples < 5) {

      estimate = MAX2(seq->davg() * (5 - samples) / 2.0, estimate);

    }

    return estimate;

  }

 public:

  G1Predictions(double sigma) : _sigma(sigma) {

    assert(sigma >= 0.0, "Confidence must be larger than or equal to zero");

  }

  // Confidence factor.

  double sigma() const { return _sigma; }

  double get_new_prediction(TruncatedSeq const* seq) const {

    return seq->davg() + _sigma * stddev_estimate(seq);

  }

};

#endif // SHARE_VM_GC_G1_G1PREDICTIONS_HPP