| /* |
| * q_netem.c NETEM. |
| * |
| * This program is free software; you can redistribute it and/or |
| * modify it under the terms of the GNU General Public License |
| * as published by the Free Software Foundation; either version |
| * 2 of the License, or (at your option) any later version. |
| * |
| * Authors: Stephen Hemminger <shemminger@linux-foundation.org> |
| * |
| */ |
| |
| #include <stdio.h> |
| #include <stdlib.h> |
| #include <math.h> |
| #include <ctype.h> |
| #include <unistd.h> |
| #include <fcntl.h> |
| #include <stdint.h> |
| #include <sys/socket.h> |
| #include <netinet/in.h> |
| #include <arpa/inet.h> |
| #include <string.h> |
| #include <errno.h> |
| |
| #include "utils.h" |
| #include "tc_util.h" |
| #include "tc_common.h" |
| |
| static void explain(void) |
| { |
| fprintf(stderr, |
| "Usage: ... netem [ limit PACKETS ]\n" \ |
| " [ delay TIME [ JITTER [CORRELATION]]]\n" \ |
| " [ distribution {uniform|normal|pareto|paretonormal} ]\n" \ |
| " [ corrupt PERCENT [CORRELATION]]\n" \ |
| " [ duplicate PERCENT [CORRELATION]]\n" \ |
| " [ loss random PERCENT [CORRELATION]]\n" \ |
| " [ loss state P13 [P31 [P32 [P23 P14]]]\n" \ |
| " [ loss gemodel PERCENT [R [1-H [1-K]]]\n" \ |
| " [ ecn ]\n" \ |
| " [ reorder PERCENT [CORRELATION] [ gap DISTANCE ]]\n" \ |
| " [ rate RATE [PACKETOVERHEAD] [CELLSIZE] [CELLOVERHEAD]]\n" \ |
| " [ slot MIN_DELAY [MAX_DELAY] [packets MAX_PACKETS]" \ |
| " [bytes MAX_BYTES]]\n" \ |
| " [ slot distribution" \ |
| " {uniform|normal|pareto|paretonormal|custom} DELAY JITTER" \ |
| " [packets MAX_PACKETS] [bytes MAX_BYTES]]\n"); |
| } |
| |
| static void explain1(const char *arg) |
| { |
| fprintf(stderr, "Illegal \"%s\"\n", arg); |
| } |
| |
| /* Upper bound on size of distribution |
| * really (TCA_BUF_MAX - other headers) / sizeof (__s16) |
| */ |
| #define MAX_DIST (16*1024) |
| |
| /* Print values only if they are non-zero */ |
| static void __print_int_opt(const char *label_json, const char *label_fp, |
| int val) |
| { |
| print_int(PRINT_ANY, label_json, val ? label_fp : "", val); |
| } |
| #define PRINT_INT_OPT(label, val) \ |
| __print_int_opt(label, " " label " %d", (val)) |
| |
| /* Time print prints normally with varying units, but for JSON prints |
| * in seconds (1ms vs 0.001). |
| */ |
| static void __print_time64(const char *label_json, const char *label_fp, |
| __u64 val) |
| { |
| SPRINT_BUF(b1); |
| |
| print_string(PRINT_FP, NULL, label_fp, sprint_time64(val, b1)); |
| print_float(PRINT_JSON, label_json, NULL, val / 1000000000.); |
| } |
| #define __PRINT_TIME64(label_json, label_fp, val) \ |
| __print_time64(label_json, label_fp " %s", (val)) |
| #define PRINT_TIME64(label, val) __PRINT_TIME64(label, " " label, (val)) |
| |
| /* Percent print prints normally in percentage points, but for JSON prints |
| * an absolute value (1% vs 0.01). |
| */ |
| static void __print_percent(const char *label_json, const char *label_fp, |
| __u32 per) |
| { |
| print_float(PRINT_FP, NULL, label_fp, (100. * per) / UINT32_MAX); |
| print_float(PRINT_JSON, label_json, NULL, (1. * per) / UINT32_MAX); |
| } |
| #define __PRINT_PERCENT(label_json, label_fp, per) \ |
| __print_percent(label_json, label_fp " %g%%", (per)) |
| #define PRINT_PERCENT(label, per) __PRINT_PERCENT(label, " " label, (per)) |
| |
| /* scaled value used to percent of maximum. */ |
| static void set_percent(__u32 *percent, double per) |
| { |
| *percent = rint(per * UINT32_MAX); |
| } |
| |
| static int get_percent(__u32 *percent, const char *str) |
| { |
| double per; |
| |
| if (parse_percent(&per, str)) |
| return -1; |
| |
| set_percent(percent, per); |
| return 0; |
| } |
| |
| static void print_corr(bool present, __u32 value) |
| { |
| if (!is_json_context()) { |
| if (present) |
| __PRINT_PERCENT("", "", value); |
| } else { |
| PRINT_PERCENT("correlation", value); |
| } |
| } |
| |
| /* |
| * Simplistic file parser for distrbution data. |
| * Format is: |
| * # comment line(s) |
| * data0 data1 ... |
| */ |
| static int get_distribution(const char *type, __s16 *data, int maxdata) |
| { |
| FILE *f; |
| int n; |
| long x; |
| size_t len; |
| char *line = NULL; |
| char name[128]; |
| |
| snprintf(name, sizeof(name), "%s/%s.dist", get_tc_lib(), type); |
| if ((f = fopen(name, "r")) == NULL) { |
| fprintf(stderr, "No distribution data for %s (%s: %s)\n", |
| type, name, strerror(errno)); |
| return -1; |
| } |
| |
| n = 0; |
| while (getline(&line, &len, f) != -1) { |
| char *p, *endp; |
| |
| if (*line == '\n' || *line == '#') |
| continue; |
| |
| for (p = line; ; p = endp) { |
| x = strtol(p, &endp, 0); |
| if (endp == p) |
| break; |
| |
| if (n >= maxdata) { |
| fprintf(stderr, "%s: too much data\n", |
| name); |
| n = -1; |
| goto error; |
| } |
| data[n++] = x; |
| } |
| } |
| error: |
| free(line); |
| fclose(f); |
| return n; |
| } |
| |
| #define NEXT_IS_NUMBER() (NEXT_ARG_OK() && isdigit(argv[1][0])) |
| #define NEXT_IS_SIGNED_NUMBER() \ |
| (NEXT_ARG_OK() && (isdigit(argv[1][0]) || argv[1][0] == '-')) |
| |
| /* Adjust for the fact that psched_ticks aren't always usecs |
| (based on kernel PSCHED_CLOCK configuration */ |
| static int get_ticks(__u32 *ticks, const char *str) |
| { |
| unsigned int t; |
| |
| if (get_time(&t, str)) |
| return -1; |
| |
| if (tc_core_time2big(t)) { |
| fprintf(stderr, "Illegal %u time (too large)\n", t); |
| return -1; |
| } |
| |
| *ticks = tc_core_time2tick(t); |
| return 0; |
| } |
| |
| static int netem_parse_opt(struct qdisc_util *qu, int argc, char **argv, |
| struct nlmsghdr *n, const char *dev) |
| { |
| int dist_size = 0; |
| int slot_dist_size = 0; |
| struct rtattr *tail; |
| struct tc_netem_qopt opt = { .limit = 1000 }; |
| struct tc_netem_corr cor = {}; |
| struct tc_netem_reorder reorder = {}; |
| struct tc_netem_corrupt corrupt = {}; |
| struct tc_netem_gimodel gimodel; |
| struct tc_netem_gemodel gemodel; |
| struct tc_netem_rate rate = {}; |
| struct tc_netem_slot slot = {}; |
| __s16 *dist_data = NULL; |
| __s16 *slot_dist_data = NULL; |
| __u16 loss_type = NETEM_LOSS_UNSPEC; |
| int present[__TCA_NETEM_MAX] = {}; |
| __u64 rate64 = 0; |
| |
| for ( ; argc > 0; --argc, ++argv) { |
| if (matches(*argv, "limit") == 0) { |
| NEXT_ARG(); |
| if (get_size(&opt.limit, *argv)) { |
| explain1("limit"); |
| return -1; |
| } |
| } else if (matches(*argv, "latency") == 0 || |
| matches(*argv, "delay") == 0) { |
| NEXT_ARG(); |
| if (get_ticks(&opt.latency, *argv)) { |
| explain1("latency"); |
| return -1; |
| } |
| |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| if (get_ticks(&opt.jitter, *argv)) { |
| explain1("latency"); |
| return -1; |
| } |
| |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| ++present[TCA_NETEM_CORR]; |
| if (get_percent(&cor.delay_corr, *argv)) { |
| explain1("latency"); |
| return -1; |
| } |
| } |
| } |
| } else if (matches(*argv, "loss") == 0 || |
| matches(*argv, "drop") == 0) { |
| if (opt.loss > 0 || loss_type != NETEM_LOSS_UNSPEC) { |
| explain1("duplicate loss argument\n"); |
| return -1; |
| } |
| |
| NEXT_ARG(); |
| /* Old (deprecated) random loss model syntax */ |
| if (isdigit(argv[0][0])) |
| goto random_loss_model; |
| |
| if (!strcmp(*argv, "random")) { |
| NEXT_ARG(); |
| random_loss_model: |
| if (get_percent(&opt.loss, *argv)) { |
| explain1("loss percent"); |
| return -1; |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| ++present[TCA_NETEM_CORR]; |
| if (get_percent(&cor.loss_corr, *argv)) { |
| explain1("loss correllation"); |
| return -1; |
| } |
| } |
| } else if (!strcmp(*argv, "state")) { |
| double p13; |
| |
| NEXT_ARG(); |
| if (parse_percent(&p13, *argv)) { |
| explain1("loss p13"); |
| return -1; |
| } |
| |
| /* set defaults */ |
| set_percent(&gimodel.p13, p13); |
| set_percent(&gimodel.p31, 1. - p13); |
| set_percent(&gimodel.p32, 0); |
| set_percent(&gimodel.p23, 1.); |
| set_percent(&gimodel.p14, 0); |
| loss_type = NETEM_LOSS_GI; |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gimodel.p31, *argv)) { |
| explain1("loss p31"); |
| return -1; |
| } |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gimodel.p32, *argv)) { |
| explain1("loss p32"); |
| return -1; |
| } |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gimodel.p23, *argv)) { |
| explain1("loss p23"); |
| return -1; |
| } |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gimodel.p14, *argv)) { |
| explain1("loss p14"); |
| return -1; |
| } |
| |
| } else if (!strcmp(*argv, "gemodel")) { |
| double p; |
| |
| NEXT_ARG(); |
| if (parse_percent(&p, *argv)) { |
| explain1("loss gemodel p"); |
| return -1; |
| } |
| set_percent(&gemodel.p, p); |
| |
| /* set defaults */ |
| set_percent(&gemodel.r, 1. - p); |
| set_percent(&gemodel.h, 0); |
| set_percent(&gemodel.k1, 0); |
| loss_type = NETEM_LOSS_GE; |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gemodel.r, *argv)) { |
| explain1("loss gemodel r"); |
| return -1; |
| } |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gemodel.h, *argv)) { |
| explain1("loss gemodel h"); |
| return -1; |
| } |
| /* netem option is "1-h" but kernel |
| * expects "h". |
| */ |
| gemodel.h = UINT32_MAX - gemodel.h; |
| |
| if (!NEXT_IS_NUMBER()) |
| continue; |
| NEXT_ARG(); |
| if (get_percent(&gemodel.k1, *argv)) { |
| explain1("loss gemodel k"); |
| return -1; |
| } |
| } else { |
| fprintf(stderr, "Unknown loss parameter: %s\n", |
| *argv); |
| return -1; |
| } |
| } else if (matches(*argv, "ecn") == 0) { |
| present[TCA_NETEM_ECN] = 1; |
| } else if (matches(*argv, "reorder") == 0) { |
| NEXT_ARG(); |
| present[TCA_NETEM_REORDER] = 1; |
| if (get_percent(&reorder.probability, *argv)) { |
| explain1("reorder"); |
| return -1; |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| ++present[TCA_NETEM_CORR]; |
| if (get_percent(&reorder.correlation, *argv)) { |
| explain1("reorder"); |
| return -1; |
| } |
| } |
| } else if (matches(*argv, "corrupt") == 0) { |
| NEXT_ARG(); |
| present[TCA_NETEM_CORRUPT] = 1; |
| if (get_percent(&corrupt.probability, *argv)) { |
| explain1("corrupt"); |
| return -1; |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| ++present[TCA_NETEM_CORR]; |
| if (get_percent(&corrupt.correlation, *argv)) { |
| explain1("corrupt"); |
| return -1; |
| } |
| } |
| } else if (matches(*argv, "gap") == 0) { |
| NEXT_ARG(); |
| if (get_u32(&opt.gap, *argv, 0)) { |
| explain1("gap"); |
| return -1; |
| } |
| } else if (matches(*argv, "duplicate") == 0) { |
| NEXT_ARG(); |
| if (get_percent(&opt.duplicate, *argv)) { |
| explain1("duplicate"); |
| return -1; |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| if (get_percent(&cor.dup_corr, *argv)) { |
| explain1("duplicate"); |
| return -1; |
| } |
| } |
| } else if (matches(*argv, "distribution") == 0) { |
| NEXT_ARG(); |
| dist_data = calloc(sizeof(dist_data[0]), MAX_DIST); |
| dist_size = get_distribution(*argv, dist_data, MAX_DIST); |
| if (dist_size <= 0) { |
| free(dist_data); |
| return -1; |
| } |
| } else if (matches(*argv, "rate") == 0) { |
| ++present[TCA_NETEM_RATE]; |
| NEXT_ARG(); |
| if (strchr(*argv, '%')) { |
| if (get_percent_rate64(&rate64, *argv, dev)) { |
| explain1("rate"); |
| return -1; |
| } |
| } else if (get_rate64(&rate64, *argv)) { |
| explain1("rate"); |
| return -1; |
| } |
| if (NEXT_IS_SIGNED_NUMBER()) { |
| NEXT_ARG(); |
| if (get_s32(&rate.packet_overhead, *argv, 0)) { |
| explain1("rate"); |
| return -1; |
| } |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| if (get_u32(&rate.cell_size, *argv, 0)) { |
| explain1("rate"); |
| return -1; |
| } |
| } |
| if (NEXT_IS_SIGNED_NUMBER()) { |
| NEXT_ARG(); |
| if (get_s32(&rate.cell_overhead, *argv, 0)) { |
| explain1("rate"); |
| return -1; |
| } |
| } |
| } else if (matches(*argv, "slot") == 0) { |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| present[TCA_NETEM_SLOT] = 1; |
| if (get_time64(&slot.min_delay, *argv)) { |
| explain1("slot min_delay"); |
| return -1; |
| } |
| if (NEXT_IS_NUMBER()) { |
| NEXT_ARG(); |
| if (get_time64(&slot.max_delay, *argv) || |
| slot.max_delay < slot.min_delay) { |
| explain1("slot max_delay"); |
| return -1; |
| } |
| } else { |
| slot.max_delay = slot.min_delay; |
| } |
| } else { |
| NEXT_ARG(); |
| if (strcmp(*argv, "distribution") == 0) { |
| present[TCA_NETEM_SLOT] = 1; |
| NEXT_ARG(); |
| slot_dist_data = calloc(sizeof(slot_dist_data[0]), MAX_DIST); |
| if (!slot_dist_data) |
| return -1; |
| slot_dist_size = get_distribution(*argv, slot_dist_data, MAX_DIST); |
| if (slot_dist_size <= 0) { |
| free(slot_dist_data); |
| return -1; |
| } |
| NEXT_ARG(); |
| if (get_time64(&slot.dist_delay, *argv)) { |
| explain1("slot delay"); |
| return -1; |
| } |
| NEXT_ARG(); |
| if (get_time64(&slot.dist_jitter, *argv)) { |
| explain1("slot jitter"); |
| return -1; |
| } |
| if (slot.dist_jitter <= 0) { |
| fprintf(stderr, "Non-positive jitter\n"); |
| return -1; |
| } |
| } else { |
| fprintf(stderr, "Unknown slot parameter: %s\n", |
| *argv); |
| return -1; |
| } |
| } |
| if (NEXT_ARG_OK() && |
| matches(*(argv+1), "packets") == 0) { |
| NEXT_ARG(); |
| if (!NEXT_ARG_OK() || |
| get_s32(&slot.max_packets, *(argv+1), 0)) { |
| explain1("slot packets"); |
| return -1; |
| } |
| NEXT_ARG(); |
| } |
| if (NEXT_ARG_OK() && |
| matches(*(argv+1), "bytes") == 0) { |
| unsigned int max_bytes; |
| NEXT_ARG(); |
| if (!NEXT_ARG_OK() || |
| get_size(&max_bytes, *(argv+1))) { |
| explain1("slot bytes"); |
| return -1; |
| } |
| slot.max_bytes = (int) max_bytes; |
| NEXT_ARG(); |
| } |
| } else if (strcmp(*argv, "help") == 0) { |
| explain(); |
| return -1; |
| } else { |
| fprintf(stderr, "What is \"%s\"?\n", *argv); |
| explain(); |
| return -1; |
| } |
| } |
| |
| tail = NLMSG_TAIL(n); |
| |
| if (reorder.probability) { |
| if (opt.latency == 0) { |
| fprintf(stderr, "reordering not possible without specifying some delay\n"); |
| explain(); |
| return -1; |
| } |
| if (opt.gap == 0) |
| opt.gap = 1; |
| } else if (opt.gap > 0) { |
| fprintf(stderr, "gap specified without reorder probability\n"); |
| explain(); |
| return -1; |
| } |
| |
| if (present[TCA_NETEM_ECN]) { |
| if (opt.loss <= 0 && loss_type == NETEM_LOSS_UNSPEC) { |
| fprintf(stderr, "ecn requested without loss model\n"); |
| explain(); |
| return -1; |
| } |
| } |
| |
| if (dist_data && (opt.latency == 0 || opt.jitter == 0)) { |
| fprintf(stderr, "distribution specified but no latency and jitter values\n"); |
| explain(); |
| return -1; |
| } |
| |
| if (addattr_l(n, 1024, TCA_OPTIONS, &opt, sizeof(opt)) < 0) |
| return -1; |
| |
| if (present[TCA_NETEM_CORR] && |
| addattr_l(n, 1024, TCA_NETEM_CORR, &cor, sizeof(cor)) < 0) |
| return -1; |
| |
| if (present[TCA_NETEM_REORDER] && |
| addattr_l(n, 1024, TCA_NETEM_REORDER, &reorder, sizeof(reorder)) < 0) |
| return -1; |
| |
| if (present[TCA_NETEM_ECN] && |
| addattr_l(n, 1024, TCA_NETEM_ECN, &present[TCA_NETEM_ECN], |
| sizeof(present[TCA_NETEM_ECN])) < 0) |
| return -1; |
| |
| if (present[TCA_NETEM_CORRUPT] && |
| addattr_l(n, 1024, TCA_NETEM_CORRUPT, &corrupt, sizeof(corrupt)) < 0) |
| return -1; |
| |
| if (present[TCA_NETEM_SLOT] && |
| addattr_l(n, 1024, TCA_NETEM_SLOT, &slot, sizeof(slot)) < 0) |
| return -1; |
| |
| if (loss_type != NETEM_LOSS_UNSPEC) { |
| struct rtattr *start; |
| |
| start = addattr_nest(n, 1024, TCA_NETEM_LOSS | NLA_F_NESTED); |
| if (loss_type == NETEM_LOSS_GI) { |
| if (addattr_l(n, 1024, NETEM_LOSS_GI, |
| &gimodel, sizeof(gimodel)) < 0) |
| return -1; |
| } else if (loss_type == NETEM_LOSS_GE) { |
| if (addattr_l(n, 1024, NETEM_LOSS_GE, |
| &gemodel, sizeof(gemodel)) < 0) |
| return -1; |
| } else { |
| fprintf(stderr, "loss in the weeds!\n"); |
| return -1; |
| } |
| |
| addattr_nest_end(n, start); |
| } |
| |
| if (present[TCA_NETEM_RATE]) { |
| if (rate64 >= (1ULL << 32)) { |
| if (addattr_l(n, 1024, |
| TCA_NETEM_RATE64, &rate64, sizeof(rate64)) < 0) |
| return -1; |
| rate.rate = ~0U; |
| } else { |
| rate.rate = rate64; |
| } |
| if (addattr_l(n, 1024, TCA_NETEM_RATE, &rate, sizeof(rate)) < 0) |
| return -1; |
| } |
| |
| if (dist_data) { |
| if (addattr_l(n, MAX_DIST * sizeof(dist_data[0]), |
| TCA_NETEM_DELAY_DIST, |
| dist_data, dist_size * sizeof(dist_data[0])) < 0) |
| return -1; |
| free(dist_data); |
| } |
| |
| if (slot_dist_data) { |
| if (addattr_l(n, MAX_DIST * sizeof(slot_dist_data[0]), |
| TCA_NETEM_SLOT_DIST, |
| slot_dist_data, slot_dist_size * sizeof(slot_dist_data[0])) < 0) |
| return -1; |
| free(slot_dist_data); |
| } |
| tail->rta_len = (void *) NLMSG_TAIL(n) - (void *) tail; |
| return 0; |
| } |
| |
| static int netem_print_opt(struct qdisc_util *qu, FILE *f, struct rtattr *opt) |
| { |
| const struct tc_netem_corr *cor = NULL; |
| const struct tc_netem_reorder *reorder = NULL; |
| const struct tc_netem_corrupt *corrupt = NULL; |
| const struct tc_netem_gimodel *gimodel = NULL; |
| const struct tc_netem_gemodel *gemodel = NULL; |
| int *ecn = NULL; |
| struct tc_netem_qopt qopt; |
| const struct tc_netem_rate *rate = NULL; |
| const struct tc_netem_slot *slot = NULL; |
| int len; |
| __u64 rate64 = 0; |
| |
| SPRINT_BUF(b1); |
| |
| if (opt == NULL) |
| return 0; |
| |
| len = RTA_PAYLOAD(opt) - sizeof(qopt); |
| if (len < 0) { |
| fprintf(stderr, "options size error\n"); |
| return -1; |
| } |
| memcpy(&qopt, RTA_DATA(opt), sizeof(qopt)); |
| |
| if (len > 0) { |
| struct rtattr *tb[TCA_NETEM_MAX+1]; |
| |
| parse_rtattr(tb, TCA_NETEM_MAX, RTA_DATA(opt) + sizeof(qopt), |
| len); |
| |
| if (tb[TCA_NETEM_CORR]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_CORR]) < sizeof(*cor)) |
| return -1; |
| cor = RTA_DATA(tb[TCA_NETEM_CORR]); |
| } |
| if (tb[TCA_NETEM_REORDER]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_REORDER]) < sizeof(*reorder)) |
| return -1; |
| reorder = RTA_DATA(tb[TCA_NETEM_REORDER]); |
| } |
| if (tb[TCA_NETEM_CORRUPT]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_CORRUPT]) < sizeof(*corrupt)) |
| return -1; |
| corrupt = RTA_DATA(tb[TCA_NETEM_CORRUPT]); |
| } |
| if (tb[TCA_NETEM_LOSS]) { |
| struct rtattr *lb[NETEM_LOSS_MAX + 1]; |
| |
| parse_rtattr_nested(lb, NETEM_LOSS_MAX, tb[TCA_NETEM_LOSS]); |
| if (lb[NETEM_LOSS_GI]) |
| gimodel = RTA_DATA(lb[NETEM_LOSS_GI]); |
| if (lb[NETEM_LOSS_GE]) |
| gemodel = RTA_DATA(lb[NETEM_LOSS_GE]); |
| } |
| if (tb[TCA_NETEM_RATE]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_RATE]) < sizeof(*rate)) |
| return -1; |
| rate = RTA_DATA(tb[TCA_NETEM_RATE]); |
| } |
| if (tb[TCA_NETEM_ECN]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_ECN]) < sizeof(*ecn)) |
| return -1; |
| ecn = RTA_DATA(tb[TCA_NETEM_ECN]); |
| } |
| if (tb[TCA_NETEM_RATE64]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_RATE64]) < sizeof(rate64)) |
| return -1; |
| rate64 = rta_getattr_u64(tb[TCA_NETEM_RATE64]); |
| } |
| if (tb[TCA_NETEM_SLOT]) { |
| if (RTA_PAYLOAD(tb[TCA_NETEM_SLOT]) < sizeof(*slot)) |
| return -1; |
| slot = RTA_DATA(tb[TCA_NETEM_SLOT]); |
| } |
| } |
| |
| print_uint(PRINT_ANY, "limit", "limit %d", qopt.limit); |
| |
| if (qopt.latency) { |
| open_json_object("delay"); |
| if (!is_json_context()) { |
| print_string(PRINT_FP, NULL, " delay %s", |
| sprint_ticks(qopt.latency, b1)); |
| |
| if (qopt.jitter) |
| print_string(PRINT_FP, NULL, " %s", |
| sprint_ticks(qopt.jitter, b1)); |
| } else { |
| print_float(PRINT_JSON, "delay", NULL, |
| tc_core_tick2time(qopt.latency) / |
| 1000000.); |
| print_float(PRINT_JSON, "jitter", NULL, |
| tc_core_tick2time(qopt.jitter) / |
| 1000000.); |
| } |
| print_corr(qopt.jitter && cor && cor->delay_corr, |
| cor ? cor->delay_corr : 0); |
| close_json_object(); |
| } |
| |
| if (qopt.loss) { |
| open_json_object("loss-random"); |
| PRINT_PERCENT("loss", qopt.loss); |
| print_corr(cor && cor->loss_corr, cor ? cor->loss_corr : 0); |
| close_json_object(); |
| } |
| |
| if (gimodel) { |
| open_json_object("loss-state"); |
| __PRINT_PERCENT("p13", " loss state p13", gimodel->p13); |
| PRINT_PERCENT("p31", gimodel->p31); |
| PRINT_PERCENT("p32", gimodel->p32); |
| PRINT_PERCENT("p23", gimodel->p23); |
| PRINT_PERCENT("p14", gimodel->p14); |
| close_json_object(); |
| } |
| |
| if (gemodel) { |
| open_json_object("loss-gemodel"); |
| __PRINT_PERCENT("p", " loss gemodel p", gemodel->p); |
| PRINT_PERCENT("r", gemodel->r); |
| PRINT_PERCENT("1-h", UINT32_MAX - gemodel->h); |
| PRINT_PERCENT("1-k", gemodel->k1); |
| close_json_object(); |
| } |
| |
| if (qopt.duplicate) { |
| open_json_object("duplicate"); |
| PRINT_PERCENT("duplicate", qopt.duplicate); |
| print_corr(cor && cor->dup_corr, cor ? cor->dup_corr : 0); |
| close_json_object(); |
| } |
| |
| if (reorder && reorder->probability) { |
| open_json_object("reorder"); |
| PRINT_PERCENT("reorder", reorder->probability); |
| print_corr(reorder->correlation, reorder->correlation); |
| close_json_object(); |
| } |
| |
| if (corrupt && corrupt->probability) { |
| open_json_object("corrupt"); |
| PRINT_PERCENT("corrupt", corrupt->probability); |
| print_corr(corrupt->correlation, corrupt->correlation); |
| close_json_object(); |
| } |
| |
| if (rate && rate->rate) { |
| open_json_object("rate"); |
| rate64 = rate64 ? : rate->rate; |
| print_string(PRINT_FP, NULL, " rate %s", |
| sprint_rate(rate64, b1)); |
| print_lluint(PRINT_JSON, "rate", NULL, rate64); |
| PRINT_INT_OPT("packetoverhead", rate->packet_overhead); |
| print_uint(PRINT_ANY, "cellsize", |
| rate->cell_size ? " cellsize %u" : "", |
| rate->cell_size); |
| PRINT_INT_OPT("celloverhead", rate->cell_overhead); |
| close_json_object(); |
| } |
| |
| if (slot) { |
| open_json_object("slot"); |
| if (slot->dist_jitter > 0) { |
| __PRINT_TIME64("distribution", " slot distribution", |
| slot->dist_delay); |
| __PRINT_TIME64("jitter", "", slot->dist_jitter); |
| } else { |
| __PRINT_TIME64("min-delay", " slot", slot->min_delay); |
| __PRINT_TIME64("max-delay", "", slot->max_delay); |
| } |
| PRINT_INT_OPT("packets", slot->max_packets); |
| PRINT_INT_OPT("bytes", slot->max_bytes); |
| close_json_object(); |
| } |
| |
| print_bool(PRINT_ANY, "ecn", ecn ? " ecn " : "", ecn); |
| print_luint(PRINT_ANY, "gap", qopt.gap ? " gap %lu" : "", |
| (unsigned long)qopt.gap); |
| |
| return 0; |
| } |
| |
| struct qdisc_util netem_qdisc_util = { |
| .id = "netem", |
| .parse_qopt = netem_parse_opt, |
| .print_qopt = netem_print_opt, |
| }; |