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Contents
//
//
// Copyright 2015 gRPC authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
//
#include <grpc/support/port_platform.h>
#include "src/core/lib/gprpp/time_averaged_stats.h"
namespace grpc_core {
TimeAveragedStats::TimeAveragedStats(double init_avg, double regress_weight,
double persistence_factor)
: init_avg_(init_avg),
regress_weight_(regress_weight),
persistence_factor_(persistence_factor) {}
void TimeAveragedStats::AddSample(double value) {
batch_total_value_ += value;
++batch_num_samples_;
}
double TimeAveragedStats::UpdateAverage() {
// Start with the current batch:
double weighted_sum = batch_total_value_;
double total_weight = batch_num_samples_;
if (regress_weight_ > 0) {
// Add in the regression towards init_avg_:
weighted_sum += regress_weight_ * init_avg_;
total_weight += regress_weight_;
}
if (persistence_factor_ > 0) {
// Add in the persistence:
const double prev_sample_weight =
persistence_factor_ * aggregate_total_weight_;
weighted_sum += prev_sample_weight * aggregate_weighted_avg_;
total_weight += prev_sample_weight;
}
aggregate_weighted_avg_ =
(total_weight > 0) ? (weighted_sum / total_weight) : init_avg_;
aggregate_total_weight_ = total_weight;
batch_num_samples_ = 0;
batch_total_value_ = 0;
return aggregate_weighted_avg_;
}
} // namespace grpc_core
Version data entries
34 entries across 34 versions & 1 rubygems