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/*
*
* Copyright 2015-2016, Google Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are
* met:
*
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above
* copyright notice, this list of conditions and the following disclaimer
* in the documentation and/or other materials provided with the
* distribution.
* * Neither the name of Google Inc. nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
*/
#include "src/core/lib/iomgr/time_averaged_stats.h"
void grpc_time_averaged_stats_init(grpc_time_averaged_stats* stats,
double init_avg, double regress_weight,
double persistence_factor) {
stats->init_avg = init_avg;
stats->regress_weight = regress_weight;
stats->persistence_factor = persistence_factor;
stats->batch_total_value = 0;
stats->batch_num_samples = 0;
stats->aggregate_total_weight = 0;
stats->aggregate_weighted_avg = init_avg;
}
void grpc_time_averaged_stats_add_sample(grpc_time_averaged_stats* stats,
double value) {
stats->batch_total_value += value;
++stats->batch_num_samples;
}
double grpc_time_averaged_stats_update_average(
grpc_time_averaged_stats* stats) {
/* Start with the current batch: */
double weighted_sum = stats->batch_total_value;
double total_weight = stats->batch_num_samples;
if (stats->regress_weight > 0) {
/* Add in the regression towards init_avg_: */
weighted_sum += stats->regress_weight * stats->init_avg;
total_weight += stats->regress_weight;
}
if (stats->persistence_factor > 0) {
/* Add in the persistence: */
const double prev_sample_weight =
stats->persistence_factor * stats->aggregate_total_weight;
weighted_sum += prev_sample_weight * stats->aggregate_weighted_avg;
total_weight += prev_sample_weight;
}
stats->aggregate_weighted_avg =
(total_weight > 0) ? (weighted_sum / total_weight) : stats->init_avg;
stats->aggregate_total_weight = total_weight;
stats->batch_num_samples = 0;
stats->batch_total_value = 0;
return stats->aggregate_weighted_avg;
}
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