-#include <algorithm>
-#include <cmath>
#include <cstring>
-#include <tr1/functional>
#include <iostream>
-#include <numeric>
#include <stdexcept>
-#include <vector>
#include <msg/msg.h>
#include <xbt/log.h>
#include "misc.h"
#include "options.h"
#include "process.h"
+#include "statistics.h"
#include "timer.h"
#include "tracing.h"
#include "version.h"
EXIT_FAILURE_CLEAN = 0x08, // error at cleanup
};
- std::vector<double> comps;
- double comp_total;
- double comp_avg;
- double comp_stddev;
+ struct statistics comps;
+ struct statistics loads;
- std::vector<double> loads;
- double load_avg;
- double load_stddev;
}
static int simulation_main(int argc, char* argv[])
try {
proc = opt::loba_algorithms.new_instance(opt::loba_algo, argc, argv);
result = proc->run();
- comps.push_back(proc->get_comp());
- loads.push_back(proc->get_load());
+ comps.push(proc->get_comp());
+ loads.push(proc->get_load());
delete proc;
}
catch (std::invalid_argument& e) {
total_running, running_ratio);
}
-static void statistics(const std::vector<double>& vec,
- double* sum, double* avg, double* stddev)
-{
- using std::tr1::bind;
- using std::tr1::placeholders::_1;
-
- unsigned n = vec.size();
- double vec_sum = std::accumulate(vec.begin(), vec.end(), 0.0);
- double vec_avg = vec_sum / n;
-
- if (sum)
- *sum = vec_sum;
- if (avg)
- *avg = vec_avg;
-
- if (stddev) {
- std::vector<double> diff(vec);
- std::transform(diff.begin(), diff.end(), diff.begin(),
- bind(std::minus<double>(), _1, vec_avg));
- double epsilon = std::accumulate(diff.begin(), diff.end(), 0.0);
- double square_sum = std::inner_product(diff.begin(), diff.end(),
- diff.begin(), 0.0);
- double variance = (square_sum - (epsilon * epsilon) / n) / n;
- *stddev = sqrt(variance);
- }
-}
-
-static void compute_metrics()
-{
- statistics(comps, &comp_total, &comp_avg, &comp_stddev);
- statistics(loads, NULL, &load_avg, &load_stddev);
-}
+#define PR_STATS(descr, st) \
+ INFO5("| %.*s: %g / %g / %g", 39, \
+ descr " total/avg./stddev. at exit.........................", \
+ st.get_sum(), st.get_avg(), st.get_stddev())
int main(int argc, char* argv[])
{
if (simulated_time >= 0.0) {
simulation_time.stop();
check_for_lost_load();
- compute_metrics();
INFO0(",----[ Results ]");
- INFO2("| Load avg./stddev. at exit..............: %g / %g",
- load_avg, load_stddev);
- INFO3("| Computation total/avg./stddev. at exit.: %g / %g / %g",
- comp_total, comp_avg, comp_stddev);
+ PR_STATS("Load", loads);
+ PR_STATS("Computation", comps);
INFO1("| Total simulated time...................: %g", simulated_time);
INFO1("| Total simulation time..................: %g",
simulation_time.duration());
--- /dev/null
+#include <algorithm>
+#include <cmath>
+#include <tr1/functional>
+#include <numeric>
+
+#include "statistics.h"
+
+statistics::statistics()
+ : up2date(false)
+{
+}
+
+void statistics::reset()
+{
+ values.clear();
+ up2date = false;
+}
+
+void statistics::push(double val)
+{
+ values.push_back(val);
+ up2date = false;
+}
+
+size_t statistics::get_count()
+{
+ return values.size();
+}
+
+double statistics::get_sum()
+{
+ update();
+ return sum;
+}
+
+double statistics::get_avg()
+{
+ update();
+ return avg;
+}
+
+double statistics::get_stddev()
+{
+ update();
+ return stddev;
+}
+
+void statistics::update()
+{
+ if (up2date)
+ return;
+
+ if (values.empty()) {
+ sum = 0.0;
+ avg = stddev = 0.0 / 0.0;
+ }
+
+ using std::tr1::bind;
+ using std::tr1::placeholders::_1;
+
+ unsigned n = values.size();
+ sum = std::accumulate(values.begin(), values.end(), 0.0);
+ avg = sum / n;
+
+ std::vector<double> diff(values);
+ std::transform(diff.begin(), diff.end(), diff.begin(),
+ bind(std::minus<double>(), _1, avg));
+ double epsilon = std::accumulate(diff.begin(), diff.end(), 0.0);
+ double square_sum = std::inner_product(diff.begin(), diff.end(),
+ diff.begin(), 0.0);
+ double variance = (square_sum - (epsilon * epsilon) / n) / n;
+ stddev = sqrt(variance);
+
+ up2date = true;
+}