mirror of
https://git.rwth-aachen.de/acs/public/villas/node/
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178 lines
No EOL
4.4 KiB
C
178 lines
No EOL
4.4 KiB
C
/** Statistic collection.
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*
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* @author Steffen Vogel <stvogel@eonerc.rwth-aachen.de>
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* @copyright 2014-2016, Institute for Automation of Complex Power Systems, EONERC
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* This file is part of VILLASnode. All Rights Reserved. Proprietary and confidential.
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* Unauthorized copying of this file, via any medium is strictly prohibited.
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*/
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#include "stats.h"
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#include "hist.h"
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#include "timing.h"
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#include "path.h"
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#include "sample.h"
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#include "log.h"
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static struct stats_desc {
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const char *name;
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const char *unit;
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const char *desc;
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struct {
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double min;
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double max;
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double resolution;
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} hist;
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} stats_table[] = {
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{ "invalid", "", "invalid messages", {0, 0, -1, }},
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{ "skipped", "", "skipped messages by hooks", {0, 0, -1, }},
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{ "dropped", "", "dropped messages because of reordering", {0, 0, -1, }},
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{ "gap_sequence", "", "sequence number displacement of received messages", {-10, 10, 20, }},
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{ "gap_sample", "", "inter message timestamps (as sent by remote)", {90e-3, 110e-3, 1e-3, }},
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{ "gap_received", "", "Histogram for inter message arrival time (as seen by this instance)", {90e-3, 110e-3, 1e-3, }},
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{ "owd", "s", "Histogram for one-way-delay (OWD) of received messages", {0, 1, 100e-3, }}
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};
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int stats_init(struct stats *s)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_table[i];
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hist_create(&s->histograms[i], desc->hist.min, desc->hist.max, desc->hist.resolution);
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}
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return 0;
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}
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void stats_destroy(struct stats *s)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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hist_destroy(&s->histograms[i]);
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}
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}
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void stats_update(struct stats *s, enum stats_id id, double val)
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{
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if (!s)
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return;
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hist_put(&s->histograms[id], val);
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}
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#if 0
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int stats_delta(struct stats_delta *d, struct sample *s, struct sample *p)
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{
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d->histogram.owd = time_delta(&smps[i]->ts.origin, &smps[i]->ts.received);
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d->histogram.gap = time_delta(&s->last->ts.origin, &smps[i]->ts.origin);
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d->histogram.gap_seq = s->sequence - (int32_t) p->sequence;
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d->histogram.gap_recv = time_delta(&s->last->ts.received, &smps[i]->ts.received);
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d->counter.dropped = d->histogram.gap_seq <= 0 ? 1 : 0;
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d->counter.invalid = 0;
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return 0;
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}
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#endif
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int stats_commit(struct stats *s, struct stats_delta *d)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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hist_put(&s->histograms[i], d->vals[i]);
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}
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return 0;
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}
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void stats_collect(struct stats *s, struct sample *smps[], size_t cnt)
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{
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for (int i = 0; i < cnt; i++) {
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if (s->last) {
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// struct stats_delta d;
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// stats_get_delta(&d, smps[i], s->last);
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// stats_commit(s, &d);
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}
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if (i == 0 && s->last)
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sample_put(s->last);
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if (i == cnt - 1)
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sample_get(smps[i]);
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s->last = smps[i];
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}
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}
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#ifdef WITH_JANSSON
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json_t * stats_json(struct stats *s)
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{
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json_t *obj = json_object();
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_table[i];
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json_t *stats = hist_json(&s->histograms[i]);
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json_object_set(obj, desc->name, stats);
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}
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return obj;
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}
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#endif
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void stats_reset(struct stats *s)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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hist_reset(&s->histograms[i]);
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}
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}
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void stats_print_header()
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{
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#define UNIT(u) "(" YEL(u) ")"
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stats("%-40s|%19s|%19s|%19s|%19s|%19s|", "Source " MAG("=>") " Destination",
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"OWD" UNIT("S") " ",
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"Rate" UNIT("p/S") " ",
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"Drop" UNIT("p") " ",
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"Skip" UNIT("p") " ",
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"Inval" UNIT("p") " "
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);
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line();
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}
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void stats_print_periodic(struct stats *s, struct path *p)
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{
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stats("%-40.40s|%10f|%10f|%10ju|%10ju|%10ju|", path_name(p),
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s->histograms[STATS_OWD].last,
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1.0 / s->histograms[STATS_GAP_SAMPLE].last,
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s->histograms[STATS_DROPPED].total,
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s->histograms[STATS_SKIPPED].total,
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s->histograms[STATS_INVALID].total
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);
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}
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void stats_print(struct stats *s, int details)
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{
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for (int i = 0; i < STATS_COUNT; i++) {
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struct stats_desc *desc = &stats_table[i];
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stats("%s: %s", desc->name, desc->desc);
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hist_print(&s->histograms[i], details);
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}
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}
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void stats_send(struct stats *s, struct node *n)
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{
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char buf[SAMPLE_LEN(STATS_COUNT * 5)];
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struct sample *smp = (struct sample *) buf;
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int i = 0;
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for (int j = 0; j < STATS_COUNT; j++) {
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smp->data[i++].f = s->histograms[j].last;
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smp->data[i++].f = s->histograms[j].highest;
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smp->data[i++].f = s->histograms[j].lowest;
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smp->data[i++].f = hist_mean(&s->histograms[j]);
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smp->data[i++].f = hist_var(&s->histograms[j]);
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}
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smp->length = i;
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node_write(n, &smp, 1); /* Send single message with statistics to destination node */
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} |