lh | 9ed821d | 2023-04-07 01:36:19 -0700 | [diff] [blame^] | 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 | explain(); |
| 430 | return -1; |
| 431 | } |
| 432 | if (opt.gap == 0) |
| 433 | opt.gap = 1; |
| 434 | } else if (opt.gap > 0) { |
| 435 | fprintf(stderr, "gap specified without reorder probability\n"); |
| 436 | explain(); |
| 437 | return -1; |
| 438 | } |
| 439 | |
| 440 | if (dist_data && (opt.latency == 0 || opt.jitter == 0)) { |
| 441 | fprintf(stderr, "distribution specified but no latency and jitter values\n"); |
| 442 | explain(); |
| 443 | return -1; |
| 444 | } |
| 445 | |
| 446 | if (addattr_l(n, 1024, TCA_OPTIONS, &opt, sizeof(opt)) < 0) |
| 447 | return -1; |
| 448 | |
| 449 | if (present[TCA_NETEM_CORR] && |
| 450 | addattr_l(n, 1024, TCA_NETEM_CORR, &cor, sizeof(cor)) < 0) |
| 451 | return -1; |
| 452 | |
| 453 | if (present[TCA_NETEM_REORDER] && |
| 454 | addattr_l(n, 1024, TCA_NETEM_REORDER, &reorder, sizeof(reorder)) < 0) |
| 455 | return -1; |
| 456 | |
| 457 | if (present[TCA_NETEM_CORRUPT] && |
| 458 | addattr_l(n, 1024, TCA_NETEM_CORRUPT, &corrupt, sizeof(corrupt)) < 0) |
| 459 | return -1; |
| 460 | |
| 461 | if (loss_type != NETEM_LOSS_UNSPEC) { |
| 462 | struct rtattr *start; |
| 463 | |
| 464 | start = addattr_nest(n, 1024, TCA_NETEM_LOSS | NLA_F_NESTED); |
| 465 | if (loss_type == NETEM_LOSS_GI) { |
| 466 | if (addattr_l(n, 1024, NETEM_LOSS_GI, |
| 467 | &gimodel, sizeof(gimodel)) < 0) |
| 468 | return -1; |
| 469 | } else if (loss_type == NETEM_LOSS_GE) { |
| 470 | if (addattr_l(n, 1024, NETEM_LOSS_GE, |
| 471 | &gemodel, sizeof(gemodel)) < 0) |
| 472 | return -1; |
| 473 | } else { |
| 474 | fprintf(stderr, "loss in the weeds!\n"); |
| 475 | return -1; |
| 476 | } |
| 477 | |
| 478 | addattr_nest_end(n, start); |
| 479 | } |
| 480 | |
| 481 | if (present[TCA_NETEM_RATE] && |
| 482 | addattr_l(n, 1024, TCA_NETEM_RATE, &rate, sizeof(rate)) < 0) |
| 483 | return -1; |
| 484 | |
| 485 | if (dist_data) { |
| 486 | if (addattr_l(n, MAX_DIST * sizeof(dist_data[0]), |
| 487 | TCA_NETEM_DELAY_DIST, |
| 488 | dist_data, dist_size * sizeof(dist_data[0])) < 0) |
| 489 | return -1; |
| 490 | free(dist_data); |
| 491 | } |
| 492 | tail->rta_len = (void *) NLMSG_TAIL(n) - (void *) tail; |
| 493 | return 0; |
| 494 | } |
| 495 | |
| 496 | static int netem_print_opt(struct qdisc_util *qu, FILE *f, struct rtattr *opt) |
| 497 | { |
| 498 | const struct tc_netem_corr *cor = NULL; |
| 499 | const struct tc_netem_reorder *reorder = NULL; |
| 500 | const struct tc_netem_corrupt *corrupt = NULL; |
| 501 | const struct tc_netem_gimodel *gimodel = NULL; |
| 502 | const struct tc_netem_gemodel *gemodel = NULL; |
| 503 | struct tc_netem_qopt qopt; |
| 504 | const struct tc_netem_rate *rate = NULL; |
| 505 | int len = RTA_PAYLOAD(opt) - sizeof(qopt); |
| 506 | SPRINT_BUF(b1); |
| 507 | |
| 508 | if (opt == NULL) |
| 509 | return 0; |
| 510 | |
| 511 | if (len < 0) { |
| 512 | fprintf(stderr, "options size error\n"); |
| 513 | return -1; |
| 514 | } |
| 515 | memcpy(&qopt, RTA_DATA(opt), sizeof(qopt)); |
| 516 | |
| 517 | if (len > 0) { |
| 518 | struct rtattr *tb[TCA_NETEM_MAX+1]; |
| 519 | parse_rtattr(tb, TCA_NETEM_MAX, RTA_DATA(opt) + sizeof(qopt), |
| 520 | len); |
| 521 | |
| 522 | if (tb[TCA_NETEM_CORR]) { |
| 523 | if (RTA_PAYLOAD(tb[TCA_NETEM_CORR]) < sizeof(*cor)) |
| 524 | return -1; |
| 525 | cor = RTA_DATA(tb[TCA_NETEM_CORR]); |
| 526 | } |
| 527 | if (tb[TCA_NETEM_REORDER]) { |
| 528 | if (RTA_PAYLOAD(tb[TCA_NETEM_REORDER]) < sizeof(*reorder)) |
| 529 | return -1; |
| 530 | reorder = RTA_DATA(tb[TCA_NETEM_REORDER]); |
| 531 | } |
| 532 | if (tb[TCA_NETEM_CORRUPT]) { |
| 533 | if (RTA_PAYLOAD(tb[TCA_NETEM_CORRUPT]) < sizeof(*corrupt)) |
| 534 | return -1; |
| 535 | corrupt = RTA_DATA(tb[TCA_NETEM_CORRUPT]); |
| 536 | } |
| 537 | if (tb[TCA_NETEM_LOSS]) { |
| 538 | struct rtattr *lb[NETEM_LOSS_MAX + 1]; |
| 539 | |
| 540 | parse_rtattr_nested(lb, NETEM_LOSS_MAX, tb[TCA_NETEM_LOSS]); |
| 541 | if (lb[NETEM_LOSS_GI]) |
| 542 | gemodel = RTA_DATA(lb[NETEM_LOSS_GI]); |
| 543 | if (lb[NETEM_LOSS_GE]) |
| 544 | gemodel = RTA_DATA(lb[NETEM_LOSS_GE]); |
| 545 | } |
| 546 | if (tb[TCA_NETEM_RATE]) { |
| 547 | if (RTA_PAYLOAD(tb[TCA_NETEM_RATE]) < sizeof(*rate)) |
| 548 | return -1; |
| 549 | rate = RTA_DATA(tb[TCA_NETEM_RATE]); |
| 550 | } |
| 551 | } |
| 552 | |
| 553 | fprintf(f, "limit %d", qopt.limit); |
| 554 | |
| 555 | if (qopt.latency) { |
| 556 | fprintf(f, " delay %s", sprint_ticks(qopt.latency, b1)); |
| 557 | |
| 558 | if (qopt.jitter) { |
| 559 | fprintf(f, " %s", sprint_ticks(qopt.jitter, b1)); |
| 560 | if (cor && cor->delay_corr) |
| 561 | fprintf(f, " %s", sprint_percent(cor->delay_corr, b1)); |
| 562 | } |
| 563 | } |
| 564 | |
| 565 | if (qopt.loss) { |
| 566 | fprintf(f, " loss %s", sprint_percent(qopt.loss, b1)); |
| 567 | if (cor && cor->loss_corr) |
| 568 | fprintf(f, " %s", sprint_percent(cor->loss_corr, b1)); |
| 569 | } |
| 570 | |
| 571 | if (gimodel) { |
| 572 | fprintf(f, " loss state p13 %s", sprint_percent(gimodel->p13, b1)); |
| 573 | fprintf(f, " p31 %s", sprint_percent(gimodel->p31, b1)); |
| 574 | fprintf(f, " p32 %s", sprint_percent(gimodel->p32, b1)); |
| 575 | fprintf(f, " p23 %s", sprint_percent(gimodel->p23, b1)); |
| 576 | fprintf(f, " p14 %s", sprint_percent(gimodel->p14, b1)); |
| 577 | } |
| 578 | |
| 579 | if (gemodel) { |
| 580 | fprintf(f, "loss gemodel p %s", |
| 581 | sprint_percent(gemodel->p, b1)); |
| 582 | fprintf(f, " r %s", sprint_percent(gemodel->r, b1)); |
| 583 | fprintf(f, " 1-h %s", sprint_percent(gemodel->h, b1)); |
| 584 | fprintf(f, " 1-k %s", sprint_percent(gemodel->k1, b1)); |
| 585 | } |
| 586 | |
| 587 | if (qopt.duplicate) { |
| 588 | fprintf(f, " duplicate %s", |
| 589 | sprint_percent(qopt.duplicate, b1)); |
| 590 | if (cor && cor->dup_corr) |
| 591 | fprintf(f, " %s", sprint_percent(cor->dup_corr, b1)); |
| 592 | } |
| 593 | |
| 594 | if (reorder && reorder->probability) { |
| 595 | fprintf(f, " reorder %s", |
| 596 | sprint_percent(reorder->probability, b1)); |
| 597 | if (reorder->correlation) |
| 598 | fprintf(f, " %s", |
| 599 | sprint_percent(reorder->correlation, b1)); |
| 600 | } |
| 601 | |
| 602 | if (corrupt && corrupt->probability) { |
| 603 | fprintf(f, " corrupt %s", |
| 604 | sprint_percent(corrupt->probability, b1)); |
| 605 | if (corrupt->correlation) |
| 606 | fprintf(f, " %s", |
| 607 | sprint_percent(corrupt->correlation, b1)); |
| 608 | } |
| 609 | |
| 610 | if (rate && rate->rate) { |
| 611 | fprintf(f, " rate %s", sprint_rate(rate->rate, b1)); |
| 612 | if (rate->packet_overhead) |
| 613 | fprintf(f, " packetoverhead %d", rate->packet_overhead); |
| 614 | if (rate->cell_size) |
| 615 | fprintf(f, " cellsize %u", rate->cell_size); |
| 616 | if (rate->cell_overhead) |
| 617 | fprintf(f, " celloverhead %d", rate->cell_overhead); |
| 618 | } |
| 619 | |
| 620 | if (qopt.gap) |
| 621 | fprintf(f, " gap %lu", (unsigned long)qopt.gap); |
| 622 | |
| 623 | return 0; |
| 624 | } |
| 625 | |
| 626 | struct qdisc_util netem_qdisc_util = { |
| 627 | .id = "netem", |
| 628 | .parse_qopt = netem_parse_opt, |
| 629 | .print_qopt = netem_print_opt, |
| 630 | }; |
| 631 | |