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tc: netem rate shaping and cell extension
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1 /*
2  * q_netem.c            NETEM.
3  *
4  *              This program is free software; you can redistribute it and/or
5  *              modify it under the terms of the GNU General Public License
6  *              as published by the Free Software Foundation; either version
7  *              2 of the License, or (at your option) any later version.
8  *
9  * Authors:     Stephen Hemminger <shemminger@linux-foundation.org>
10  *
11  */
12
13 #include <stdio.h>
14 #include <stdlib.h>
15 #include <math.h>
16 #include <ctype.h>
17 #include <unistd.h>
18 #include <syslog.h>
19 #include <fcntl.h>
20 #include <sys/socket.h>
21 #include <netinet/in.h>
22 #include <arpa/inet.h>
23 #include <string.h>
24 #include <errno.h>
25
26 #include "utils.h"
27 #include "tc_util.h"
28 #include "tc_common.h"
29
30 static void explain(void)
31 {
32         fprintf(stderr,
33 "Usage: ... netem [ limit PACKETS ] \n" \
34 "                 [ delay TIME [ JITTER [CORRELATION]]]\n" \
35 "                 [ distribution {uniform|normal|pareto|paretonormal} ]\n" \
36 "                 [ corrupt PERCENT [CORRELATION]] \n" \
37 "                 [ duplicate PERCENT [CORRELATION]]\n" \
38 "                 [ loss random PERCENT [CORRELATION]]\n" \
39 "                 [ loss state P13 [P31 [P32 [P23 P14]]]\n" \
40 "                 [ loss gemodel PERCENT [R [1-H [1-K]]]\n" \
41 "                 [ reorder PRECENT [CORRELATION] [ gap DISTANCE ]]\n" \
42 "                 [ rate RATE [PACKETOVERHEAD] [CELLSIZE] [CELLOVERHEAD]]\n");
43 }
44
45 static void explain1(const char *arg)
46 {
47         fprintf(stderr, "Illegal \"%s\"\n", arg);
48 }
49
50 /* Upper bound on size of distribution
51  *  really (TCA_BUF_MAX - other headers) / sizeof (__s16)
52  */
53 #define MAX_DIST        (16*1024)
54
55 static const double max_percent_value = 0xffffffff;
56
57 /* scaled value used to percent of maximum. */
58 static void set_percent(__u32 *percent, double per)
59 {
60         *percent = (unsigned) rint(per * max_percent_value);
61 }
62
63
64 /* Parse either a fraction '.3' or percent '30%
65  * return: 0 = ok, -1 = error, 1 = out of range
66  */
67 static int parse_percent(double *val, const char *str)
68 {
69         char *p;
70
71         *val = strtod(str, &p) / 100.;
72         if (*p && strcmp(p, "%") )
73                 return -1;
74
75         return 0;
76 }
77
78 static int get_percent(__u32 *percent, const char *str)
79 {
80         double per;
81
82         if (parse_percent(&per, str))
83                 return -1;
84
85         set_percent(percent, per);
86         return 0;
87 }
88
89 void print_percent(char *buf, int len, __u32 per)
90 {
91         snprintf(buf, len, "%g%%", 100. * (double) per / max_percent_value);
92 }
93
94 char * sprint_percent(__u32 per, char *buf)
95 {
96         print_percent(buf, SPRINT_BSIZE-1, per);
97         return buf;
98 }
99
100 /*
101  * Simplistic file parser for distrbution data.
102  * Format is:
103  *      # comment line(s)
104  *      data0 data1 ...
105  */
106 static int get_distribution(const char *type, __s16 *data, int maxdata)
107 {
108         FILE *f;
109         int n;
110         long x;
111         size_t len;
112         char *line = NULL;
113         char name[128];
114
115         snprintf(name, sizeof(name), "%s/%s.dist", get_tc_lib(), type);
116         if ((f = fopen(name, "r")) == NULL) {
117                 fprintf(stderr, "No distribution data for %s (%s: %s)\n",
118                         type, name, strerror(errno));
119                 return -1;
120         }
121
122         n = 0;
123         while (getline(&line, &len, f) != -1) {
124                 char *p, *endp;
125                 if (*line == '\n' || *line == '#')
126                         continue;
127
128                 for (p = line; ; p = endp) {
129                         x = strtol(p, &endp, 0);
130                         if (endp == p)
131                                 break;
132
133                         if (n >= maxdata) {
134                                 fprintf(stderr, "%s: too much data\n",
135                                         name);
136                                 n = -1;
137                                 goto error;
138                         }
139                         data[n++] = x;
140                 }
141         }
142  error:
143         free(line);
144         fclose(f);
145         return n;
146 }
147
148 #define NEXT_IS_NUMBER() (NEXT_ARG_OK() && isdigit(argv[1][0]))
149
150 /* Adjust for the fact that psched_ticks aren't always usecs
151    (based on kernel PSCHED_CLOCK configuration */
152 static int get_ticks(__u32 *ticks, const char *str)
153 {
154         unsigned t;
155
156         if(get_time(&t, str))
157                 return -1;
158
159         if (tc_core_time2big(t)) {
160                 fprintf(stderr, "Illegal %u time (too large)\n", t);
161                 return -1;
162         }
163
164         *ticks = tc_core_time2tick(t);
165         return 0;
166 }
167
168 static int netem_parse_opt(struct qdisc_util *qu, int argc, char **argv,
169                            struct nlmsghdr *n)
170 {
171         int dist_size = 0;
172         struct rtattr *tail;
173         struct tc_netem_qopt opt = { .limit = 1000 };
174         struct tc_netem_corr cor;
175         struct tc_netem_reorder reorder;
176         struct tc_netem_corrupt corrupt;
177         struct tc_netem_gimodel gimodel;
178         struct tc_netem_gemodel gemodel;
179         struct tc_netem_rate rate;
180         __s16 *dist_data = NULL;
181         __u16 loss_type = NETEM_LOSS_UNSPEC;
182         int present[__TCA_NETEM_MAX];
183
184         memset(&cor, 0, sizeof(cor));
185         memset(&reorder, 0, sizeof(reorder));
186         memset(&corrupt, 0, sizeof(corrupt));
187         memset(&rate, 0, sizeof(rate));
188         memset(present, 0, sizeof(present));
189
190         for( ; argc > 0; --argc, ++argv) {
191                 if (matches(*argv, "limit") == 0) {
192                         NEXT_ARG();
193                         if (get_size(&opt.limit, *argv)) {
194                                 explain1("limit");
195                                 return -1;
196                         }
197                 } else if (matches(*argv, "latency") == 0 ||
198                            matches(*argv, "delay") == 0) {
199                         NEXT_ARG();
200                         if (get_ticks(&opt.latency, *argv)) {
201                                 explain1("latency");
202                                 return -1;
203                         }
204
205                         if (NEXT_IS_NUMBER()) {
206                                 NEXT_ARG();
207                                 if (get_ticks(&opt.jitter, *argv)) {
208                                         explain1("latency");
209                                         return -1;
210                                 }
211
212                                 if (NEXT_IS_NUMBER()) {
213                                         NEXT_ARG();
214                                         ++present[TCA_NETEM_CORR];
215                                         if (get_percent(&cor.delay_corr, *argv)) {
216                                                 explain1("latency");
217                                                 return -1;
218                                         }
219                                 }
220                         }
221                 } else if (matches(*argv, "loss") == 0 ||
222                            matches(*argv, "drop") == 0) {
223                         if (opt.loss > 0 || loss_type != NETEM_LOSS_UNSPEC) {
224                                 explain1("duplicate loss argument\n");
225                                 return -1;
226                         }
227
228                         NEXT_ARG();
229                         /* Old (deprecated) random loss model syntax */
230                         if (isdigit(argv[0][0]))
231                                 goto random_loss_model;
232
233                         if (!strcmp(*argv, "random")) {
234                                 NEXT_ARG();
235         random_loss_model:
236                                 if (get_percent(&opt.loss, *argv)) {
237                                         explain1("loss percent");
238                                         return -1;
239                                 }
240                                 if (NEXT_IS_NUMBER()) {
241                                         NEXT_ARG();
242                                         ++present[TCA_NETEM_CORR];
243                                         if (get_percent(&cor.loss_corr, *argv)) {
244                                                 explain1("loss correllation");
245                                                 return -1;
246                                         }
247                                 }
248                         } else if (!strcmp(*argv, "state")) {
249                                 double p13;
250
251                                 NEXT_ARG();
252                                 if (parse_percent(&p13, *argv)) {
253                                         explain1("loss p13");
254                                         return -1;
255                                 }
256
257                                 /* set defaults */
258                                 set_percent(&gimodel.p13, p13);
259                                 set_percent(&gimodel.p31, 1. - p13);
260                                 set_percent(&gimodel.p32, 0);
261                                 set_percent(&gimodel.p23, 1.);
262                                 loss_type = NETEM_LOSS_GI;
263
264                                 if (!NEXT_IS_NUMBER())
265                                         continue;
266                                 NEXT_ARG();
267                                 if (get_percent(&gimodel.p31, *argv)) {
268                                         explain1("loss p31");
269                                         return -1;
270                                 }
271
272                                 if (!NEXT_IS_NUMBER())
273                                         continue;
274                                 NEXT_ARG();
275                                 if (get_percent(&gimodel.p32, *argv)) {
276                                         explain1("loss p32");
277                                         return -1;
278                                 }
279
280                                 if (!NEXT_IS_NUMBER())
281                                         continue;
282                                 NEXT_ARG();
283                                 if (get_percent(&gimodel.p23, *argv)) {
284                                         explain1("loss p23");
285                                         return -1;
286                                 }
287
288                         } else if (!strcmp(*argv, "gemodel")) {
289                                 NEXT_ARG();
290                                 if (get_percent(&gemodel.p, *argv)) {
291                                         explain1("loss gemodel p");
292                                         return -1;
293                                 }
294
295                                 /* set defaults */
296                                 set_percent(&gemodel.r, 1.);
297                                 set_percent(&gemodel.h, 0);
298                                 set_percent(&gemodel.k1, 1.);
299                                 loss_type = NETEM_LOSS_GE;
300
301                                 if (!NEXT_IS_NUMBER())
302                                         continue;
303                                 NEXT_ARG();
304                                 if (get_percent(&gemodel.r, *argv)) {
305                                         explain1("loss gemodel r");
306                                         return -1;
307                                 }
308
309                                 if (!NEXT_IS_NUMBER())
310                                         continue;
311                                 NEXT_ARG();
312                                 if (get_percent(&gemodel.h, *argv)) {
313                                         explain1("loss gemodel h");
314                                         return -1;
315                                 }
316
317                                 if (!NEXT_IS_NUMBER())
318                                         continue;
319                                 NEXT_ARG();
320                                 if (get_percent(&gemodel.k1, *argv)) {
321                                         explain1("loss gemodel k");
322                                         return -1;
323                                 }
324                         } else {
325                                 fprintf(stderr, "Unknown loss parameter: %s\n",
326                                         *argv);
327                                 return -1;
328                         }
329                 } else if (matches(*argv, "reorder") == 0) {
330                         NEXT_ARG();
331                         present[TCA_NETEM_REORDER] = 1;
332                         if (get_percent(&reorder.probability, *argv)) {
333                                 explain1("reorder");
334                                 return -1;
335                         }
336                         if (NEXT_IS_NUMBER()) {
337                                 NEXT_ARG();
338                                 ++present[TCA_NETEM_CORR];
339                                 if (get_percent(&reorder.correlation, *argv)) {
340                                         explain1("reorder");
341                                         return -1;
342                                 }
343                         }
344                 } else if (matches(*argv, "corrupt") == 0) {
345                         NEXT_ARG();
346                         present[TCA_NETEM_CORRUPT] = 1;
347                         if (get_percent(&corrupt.probability, *argv)) {
348                                 explain1("corrupt");
349                                 return -1;
350                         }
351                         if (NEXT_IS_NUMBER()) {
352                                 NEXT_ARG();
353                                 ++present[TCA_NETEM_CORR];
354                                 if (get_percent(&corrupt.correlation, *argv)) {
355                                         explain1("corrupt");
356                                         return -1;
357                                 }
358                         }
359                 } else if (matches(*argv, "gap") == 0) {
360                         NEXT_ARG();
361                         if (get_u32(&opt.gap, *argv, 0)) {
362                                 explain1("gap");
363                                 return -1;
364                         }
365                 } else if (matches(*argv, "duplicate") == 0) {
366                         NEXT_ARG();
367                         if (get_percent(&opt.duplicate, *argv)) {
368                                 explain1("duplicate");
369                                 return -1;
370                         }
371                         if (NEXT_IS_NUMBER()) {
372                                 NEXT_ARG();
373                                 if (get_percent(&cor.dup_corr, *argv)) {
374                                         explain1("duplicate");
375                                         return -1;
376                                 }
377                         }
378                 } else if (matches(*argv, "distribution") == 0) {
379                         NEXT_ARG();
380                         dist_data = calloc(sizeof(dist_data[0]), MAX_DIST);
381                         dist_size = get_distribution(*argv, dist_data, MAX_DIST);
382                         if (dist_size <= 0) {
383                                 free(dist_data);
384                                 return -1;
385                         }
386                 } else if (matches(*argv, "rate") == 0) {
387                         ++present[TCA_NETEM_RATE];
388                         NEXT_ARG();
389                         if (get_rate(&rate.rate, *argv)) {
390                                 explain1("rate");
391                                 return -1;
392                         }
393                         if (NEXT_IS_NUMBER()) {
394                                 NEXT_ARG();
395                                 if (get_s32(&rate.packet_overhead, *argv, 0)) {
396                                         explain1("rate");
397                                         return -1;
398                                 }
399                         }
400                         if (NEXT_IS_NUMBER()) {
401                                 NEXT_ARG();
402                                 if (get_u32(&rate.cell_size, *argv, 0)) {
403                                         explain1("rate");
404                                         return -1;
405                                 }
406                         }
407                         if (NEXT_IS_NUMBER()) {
408                                 NEXT_ARG();
409                                 if (get_s32(&rate.cell_overhead, *argv, 0)) {
410                                         explain1("rate");
411                                         return -1;
412                                 }
413                         }
414                 } else if (strcmp(*argv, "help") == 0) {
415                         explain();
416                         return -1;
417                 } else {
418                         fprintf(stderr, "What is \"%s\"?\n", *argv);
419                         explain();
420                         return -1;
421                 }
422         }
423
424         tail = NLMSG_TAIL(n);
425
426         if (reorder.probability) {
427                 if (opt.latency == 0) {
428                         fprintf(stderr, "reordering not possible without specifying some delay\n");
429                 }
430                 if (opt.gap == 0)
431                         opt.gap = 1;
432         } else if (opt.gap > 0) {
433                 fprintf(stderr, "gap specified without reorder probability\n");
434                 explain();
435                 return -1;
436         }
437
438         if (dist_data && (opt.latency == 0 || opt.jitter == 0)) {
439                 fprintf(stderr, "distribution specified but no latency and jitter values\n");
440                 explain();
441                 return -1;
442         }
443
444         if (addattr_l(n, 1024, TCA_OPTIONS, &opt, sizeof(opt)) < 0)
445                 return -1;
446
447         if (present[TCA_NETEM_CORR] &&
448             addattr_l(n, 1024, TCA_NETEM_CORR, &cor, sizeof(cor)) < 0)
449                         return -1;
450
451         if (present[TCA_NETEM_REORDER] &&
452             addattr_l(n, 1024, TCA_NETEM_REORDER, &reorder, sizeof(reorder)) < 0)
453                 return -1;
454
455         if (present[TCA_NETEM_CORRUPT] &&
456             addattr_l(n, 1024, TCA_NETEM_CORRUPT, &corrupt, sizeof(corrupt)) < 0)
457                 return -1;
458
459         if (loss_type != NETEM_LOSS_UNSPEC) {
460                 struct rtattr *start;
461
462                 start = addattr_nest(n, 1024, TCA_NETEM_LOSS | NLA_F_NESTED);
463                 if (loss_type == NETEM_LOSS_GI) {
464                         if (addattr_l(n, 1024, NETEM_LOSS_GI,
465                                       &gimodel, sizeof(gimodel)) < 0)
466                             return -1;
467                 } else if (loss_type == NETEM_LOSS_GE) {
468                         if (addattr_l(n, 1024, NETEM_LOSS_GE,
469                                       &gemodel, sizeof(gemodel)) < 0)
470                             return -1;
471                 } else {
472                         fprintf(stderr, "loss in the weeds!\n");
473                         return -1;
474                 }
475                 
476                 addattr_nest_end(n, start);
477         }
478
479         if (present[TCA_NETEM_RATE] &&
480             addattr_l(n, 1024, TCA_NETEM_RATE, &rate, sizeof(rate)) < 0)
481                 return -1;
482
483         if (dist_data) {
484                 if (addattr_l(n, MAX_DIST * sizeof(dist_data[0]),
485                               TCA_NETEM_DELAY_DIST,
486                               dist_data, dist_size * sizeof(dist_data[0])) < 0)
487                         return -1;
488                 free(dist_data);
489         }
490         tail->rta_len = (void *) NLMSG_TAIL(n) - (void *) tail;
491         return 0;
492 }
493
494 static int netem_print_opt(struct qdisc_util *qu, FILE *f, struct rtattr *opt)
495 {
496         const struct tc_netem_corr *cor = NULL;
497         const struct tc_netem_reorder *reorder = NULL;
498         const struct tc_netem_corrupt *corrupt = NULL;
499         const struct tc_netem_gimodel *gimodel = NULL;
500         const struct tc_netem_gemodel *gemodel = NULL;
501         struct tc_netem_qopt qopt;
502         const struct tc_netem_rate *rate = NULL;
503         int len = RTA_PAYLOAD(opt) - sizeof(qopt);
504         SPRINT_BUF(b1);
505
506         if (opt == NULL)
507                 return 0;
508
509         if (len < 0) {
510                 fprintf(stderr, "options size error\n");
511                 return -1;
512         }
513         memcpy(&qopt, RTA_DATA(opt), sizeof(qopt));
514
515         if (len > 0) {
516                 struct rtattr *tb[TCA_NETEM_MAX+1];
517                 parse_rtattr(tb, TCA_NETEM_MAX, RTA_DATA(opt) + sizeof(qopt),
518                              len);
519
520                 if (tb[TCA_NETEM_CORR]) {
521                         if (RTA_PAYLOAD(tb[TCA_NETEM_CORR]) < sizeof(*cor))
522                                 return -1;
523                         cor = RTA_DATA(tb[TCA_NETEM_CORR]);
524                 }
525                 if (tb[TCA_NETEM_REORDER]) {
526                         if (RTA_PAYLOAD(tb[TCA_NETEM_REORDER]) < sizeof(*reorder))
527                                 return -1;
528                         reorder = RTA_DATA(tb[TCA_NETEM_REORDER]);
529                 }
530                 if (tb[TCA_NETEM_CORRUPT]) {
531                         if (RTA_PAYLOAD(tb[TCA_NETEM_CORRUPT]) < sizeof(*corrupt))
532                                 return -1;
533                         corrupt = RTA_DATA(tb[TCA_NETEM_CORRUPT]);
534                 }
535                 if (tb[TCA_NETEM_LOSS]) {
536                         struct rtattr *lb[NETEM_LOSS_MAX + 1];
537
538                         parse_rtattr_nested(lb, NETEM_LOSS_MAX, tb[TCA_NETEM_LOSS]);
539                         if (lb[NETEM_LOSS_GI])
540                                 gemodel = RTA_DATA(lb[NETEM_LOSS_GI]);
541                         if (lb[NETEM_LOSS_GE])
542                                 gemodel = RTA_DATA(lb[NETEM_LOSS_GE]);
543                 }                       
544                 if (tb[TCA_NETEM_RATE]) {
545                         if (RTA_PAYLOAD(tb[TCA_NETEM_RATE]) < sizeof(*rate))
546                                 return -1;
547                         rate = RTA_DATA(tb[TCA_NETEM_RATE]);
548                 }
549         }
550
551         fprintf(f, "limit %d", qopt.limit);
552
553         if (qopt.latency) {
554                 fprintf(f, " delay %s", sprint_ticks(qopt.latency, b1));
555
556                 if (qopt.jitter) {
557                         fprintf(f, "  %s", sprint_ticks(qopt.jitter, b1));
558                         if (cor && cor->delay_corr)
559                                 fprintf(f, " %s", sprint_percent(cor->delay_corr, b1));
560                 }
561         }
562
563         if (qopt.loss) {
564                 fprintf(f, " loss %s", sprint_percent(qopt.loss, b1));
565                 if (cor && cor->loss_corr)
566                         fprintf(f, " %s", sprint_percent(cor->loss_corr, b1));
567         }
568
569         if (gimodel) {
570                 fprintf(f, " loss state p13 %s", sprint_percent(gimodel->p13, b1));
571                 fprintf(f, " p31 %s", sprint_percent(gimodel->p31, b1));
572                 fprintf(f, " p32 %s", sprint_percent(gimodel->p32, b1));
573                 fprintf(f, " p23 %s", sprint_percent(gimodel->p23, b1));
574                 fprintf(f, " p14 %s", sprint_percent(gimodel->p14, b1));
575         }
576
577         if (gemodel) {
578                 fprintf(f, "loss gemodel p %s",
579                         sprint_percent(gemodel->p, b1));
580                 fprintf(f, " r %s", sprint_percent(gemodel->r, b1));
581                 fprintf(f, " 1-h %s", sprint_percent(gemodel->h, b1));
582                 fprintf(f, " 1-k %s", sprint_percent(gemodel->k1, b1));
583         }
584
585         if (qopt.duplicate) {
586                 fprintf(f, " duplicate %s",
587                         sprint_percent(qopt.duplicate, b1));
588                 if (cor && cor->dup_corr)
589                         fprintf(f, " %s", sprint_percent(cor->dup_corr, b1));
590         }
591
592         if (reorder && reorder->probability) {
593                 fprintf(f, " reorder %s",
594                         sprint_percent(reorder->probability, b1));
595                 if (reorder->correlation)
596                         fprintf(f, " %s",
597                                 sprint_percent(reorder->correlation, b1));
598         }
599
600         if (corrupt && corrupt->probability) {
601                 fprintf(f, " corrupt %s",
602                         sprint_percent(corrupt->probability, b1));
603                 if (corrupt->correlation)
604                         fprintf(f, " %s",
605                                 sprint_percent(corrupt->correlation, b1));
606         }
607
608         if (rate && rate->rate) {
609                 fprintf(f, " rate %s", sprint_rate(rate->rate, b1));
610                 if (rate->packet_overhead)
611                         fprintf(f, " packetoverhead %d", rate->packet_overhead);
612                 if (rate->cell_size)
613                         fprintf(f, " cellsize %u", rate->cell_size);
614                 if (rate->cell_overhead)
615                         fprintf(f, " celloverhead %d", rate->cell_overhead);
616         }
617
618         if (qopt.gap)
619                 fprintf(f, " gap %lu", (unsigned long)qopt.gap);
620
621         return 0;
622 }
623
624 struct qdisc_util netem_qdisc_util = {
625         .id             = "netem",
626         .parse_qopt     = netem_parse_opt,
627         .print_qopt     = netem_print_opt,
628 };
629