diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/Config original/iproute2-2.6.16-060323/Config --- tracenet/iproute2-2.6.16-060323/Config 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/Config 2006-07-13 17:36:40.000000000 +0200 @@ -0,0 +1 @@ +# Generated config based on /usr/src/iproute/original/iproute2-2.6.16-060323/include diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/include/flowseed.h original/iproute2-2.6.16-060323/include/flowseed.h --- tracenet/iproute2-2.6.16-060323/include/flowseed.h 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/include/flowseed.h 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,17 @@ +/* flowA.h Header file for the netem trace enhancement + */ + +#ifndef _NIST_FLOW_H +#define _NIST_FLOW_H + +/* must be divisible by 4 (=#pkts), id is incl. flowid and pid - id= +8*/ +#define DATA_PACKAGE 40000 +#define DATA_PACKAGE_ID DATA_PACKAGE+sizeof(unsigned int)+sizeof(int) + +/* maximal amount of parallel flows */ +#define MAX_FLOWS 4 + +/* path to flowseed */ +#define FLOWSEED "/usr/local/bin/flowseed" + +#endif /* _NIST_FLOW_H */ diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/include/linux/pkt_sched.h original/iproute2-2.6.16-060323/include/linux/pkt_sched.h --- tracenet/iproute2-2.6.16-060323/include/linux/pkt_sched.h 2005-12-10 00:27:44.000000000 +0100 +++ original/iproute2-2.6.16-060323/include/linux/pkt_sched.h 2006-07-13 17:36:36.000000000 +0200 @@ -443,6 +443,9 @@ __u32 gap; /* re-ordering gap (0 for none) */ __u32 duplicate; /* random packet dup (0=none ~0=100%) */ __u32 jitter; /* random jitter in latency (us) */ + __u32 trace; /*handle */ + __u32 index; /*interface index */ + __u32 ticks; /*number of ticks corresponding to 1us*/ }; struct tc_netem_corr diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/experimental.dat original/iproute2-2.6.16-060323/netem/distribution/experimental.dat --- 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experimental.dist + +install: all + mkdir -p $(DESTDIR)/usr/lib/tc + for i in $(DISTDATA); \ + do install -m 755 $$i $(DESTDIR)/usr/lib/tc; \ + done + +clean: + rm -f $(DISTDATA) $(DISTGEN) diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/maketable.c original/iproute2-2.6.16-060323/netem/distribution/maketable.c --- tracenet/iproute2-2.6.16-060323/netem/distribution/maketable.c 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/distribution/maketable.c 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,232 @@ +/* + * Experimental data distribution table generator + * Taken from the uncopyrighted NISTnet code. + * + * Rread in a series of "random" data values, either + * experimentally or generated from some probability distribution. + * From this, create the inverse distribution table used to approximate + * the distribution. + */ +#include +#include +#include +#include +#include +#include +#include + + +double * +readdoubles(FILE *fp, int *number) +{ + struct stat info; + double *x; + int limit; + int n=0, i; + + fstat(fileno(fp), &info); + if (info.st_size > 0) { + limit = 2*info.st_size/sizeof(double); /* @@ approximate */ + } else { + limit = 10000; + } + + x = calloc(limit, sizeof(double)); + if (!x) { + perror("double alloc"); + exit(3); + } + + for (i=0; i= DISTTABLESIZE) index = DISTTABLESIZE-1; + ++table[index]; + if (index > last) + last = index +1; + if (index < first) + first = index; + } + return table; +} + +/* replace an array by its cumulative distribution */ +static void +cumulativedist(int *table, int limit, int *total) +{ + int accum=0; + + while (--limit >= 0) { + accum += *table; + *table++ = accum; + } + *total = accum; +} + +static short * +inverttable(int *table, int inversesize, int tablesize, int cumulative) +{ + int i, inverseindex, inversevalue; + short *inverse; + double findex, fvalue; + + inverse = (short *)malloc(inversesize*sizeof(short)); + for (i=0; i < inversesize; ++i) { + inverse[i] = MINSHORT; + } + for (i=0; i < tablesize; ++i) { + findex = ((double)i/(double)DISTTABLEGRANULARITY) - DISTTABLEDOMAIN; + fvalue = (double)table[i]/(double)cumulative; + inverseindex = (int)rint(fvalue*inversesize); + inversevalue = (int)rint(findex*TABLEFACTOR); + if (inversevalue <= MINSHORT) inversevalue = MINSHORT+1; + if (inversevalue > MAXSHORT) inversevalue = MAXSHORT; + inverse[inverseindex] = inversevalue; + } + return inverse; + +} + +/* Run simple linear interpolation over the table to fill in missing entries */ +static void +interpolatetable(short *table, int limit) +{ + int i, j, last, lasti = -1; + + last = MINSHORT; + for (i=0; i < limit; ++i) { + if (table[i] == MINSHORT) { + for (j=i; j < limit; ++j) + if (table[j] != MINSHORT) + break; + if (j < limit) { + table[i] = last + (i-lasti)*(table[j]-last)/(j-lasti); + } else { + table[i] = last + (i-lasti)*(MAXSHORT-last)/(limit-lasti); + } + } else { + last = table[i]; + lasti = i; + } + } +} + +static void +printtable(const short *table, int limit) +{ + int i; + + printf("# This is the distribution table for the experimental distribution.\n"); + + for (i=0 ; i < limit; ++i) { + printf("%d%c", table[i], + (i % 8) == 7 ? '\n' : ' '); + } +} + +int +main(int argc, char **argv) +{ + FILE *fp; + double *x; + double mu, sigma, rho; + int limit; + int *table; + short *inverse; + int total; + + if (argc > 1) { + if (!(fp = fopen(argv[1], "r"))) { + perror(argv[1]); + exit(1); + } + } else { + fp = stdin; + } + x = readdoubles(fp, &limit); + if (limit <= 0) { + fprintf(stderr, "Nothing much read!\n"); + exit(2); + } + arraystats(x, limit, &mu, &sigma, &rho); +#ifdef DEBUG + fprintf(stderr, "%d values, mu %10.4f, sigma %10.4f, rho %10.4f\n", + limit, mu, sigma, rho); +#endif + + table = makedist(x, limit, mu, sigma); + free((void *) x); + cumulativedist(table, DISTTABLESIZE, &total); + inverse = inverttable(table, TABLESIZE, DISTTABLESIZE, total); + interpolatetable(inverse, TABLESIZE); + printtable(inverse, TABLESIZE); + return 0; +} diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/normal.c original/iproute2-2.6.16-060323/netem/distribution/normal.c --- tracenet/iproute2-2.6.16-060323/netem/distribution/normal.c 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/distribution/normal.c 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,51 @@ +/* + * Normal distribution table generator + * Taken from the uncopyrighted NISTnet code. + */ +#include +#include +#include +#include +#include + +#include +#include + +#define TABLESIZE 16384 +#define TABLEFACTOR NETEM_DIST_SCALE + +static double +normal(double x, double mu, double sigma) +{ + return .5 + .5*erf((x-mu)/(sqrt(2.0)*sigma)); +} + + +int +main(int argc, char **argv) +{ + int i, n; + double x; + double table[TABLESIZE+1]; + + for (x = -10.0; x < 10.05; x += .00005) { + i = rint(TABLESIZE * normal(x, 0.0, 1.0)); + table[i] = x; + } + + + printf("# This is the distribution table for the normal distribution.\n"); + for (i = n = 0; i < TABLESIZE; i += 4) { + int value = (int) rint(table[i]*TABLEFACTOR); + if (value < SHRT_MIN) value = SHRT_MIN; + if (value > SHRT_MAX) value = SHRT_MAX; + + printf(" %d", value); + if (++n == 8) { + putchar('\n'); + n = 0; + } + } + + return 0; +} diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/pareto.c original/iproute2-2.6.16-060323/netem/distribution/pareto.c --- tracenet/iproute2-2.6.16-060323/netem/distribution/pareto.c 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/distribution/pareto.c 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,41 @@ +/* + * Pareto distribution table generator + * Taken from the uncopyrighted NISTnet code. + */ +#include +#include +#include +#include + +#include +#include + +static const double a=3.0; +#define TABLESIZE 16384 +#define TABLEFACTOR NETEM_DIST_SCALE + +int +main(int argc, char **argv) +{ + int i, n; + double dvalue; + + printf("# This is the distribution table for the pareto distribution.\n"); + + for (i = 65536, n = 0; i > 0; i -= 16) { + dvalue = (double)i/(double)65536; + dvalue = 1.0/pow(dvalue, 1.0/a); + dvalue -= 1.5; + dvalue *= (4.0/3.0)*(double)TABLEFACTOR; + if (dvalue > 32767) + dvalue = 32767; + + printf(" %d", (int)rint(dvalue)); + if (++n == 8) { + putchar('\n'); + n = 0; + } + } + + return 0; +} diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/paretonormal.c original/iproute2-2.6.16-060323/netem/distribution/paretonormal.c --- tracenet/iproute2-2.6.16-060323/netem/distribution/paretonormal.c 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/distribution/paretonormal.c 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,82 @@ +/* + * Paretoormal distribution table generator + * + * This distribution is simply .25*normal + .75*pareto; a combination + * which seems to match experimentally observed distributions reasonably + * well, but is computationally easy to handle. + * The entries represent a scaled inverse of the cumulative distribution + * function. + * + * Taken from the uncopyrighted NISTnet code. + */ +#include +#include +#include +#include +#include +#include +#include + +#include +#include + +#define TABLESIZE 16384 +#define TABLEFACTOR NETEM_DIST_SCALE + +static double +normal(double x, double mu, double sigma) +{ + return .5 + .5*erf((x-mu)/(sqrt(2.0)*sigma)); +} + +static const double a=3.0; + +static int +paretovalue(int i) +{ + double dvalue; + + i = 65536-4*i; + dvalue = (double)i/(double)65536; + dvalue = 1.0/pow(dvalue, 1.0/a); + dvalue -= 1.5; + dvalue *= (4.0/3.0)*(double)TABLEFACTOR; + if (dvalue > 32767) + dvalue = 32767; + return (int)rint(dvalue); +} + +int +main(int argc, char **argv) +{ + int i,n; + double x; + double table[TABLESIZE+1]; + + for (x = -10.0; x < 10.05; x += .00005) { + i = rint(TABLESIZE*normal(x, 0.0, 1.0)); + table[i] = x; + } + printf( +"# This is the distribution table for the paretonormal distribution.\n" + ); + + for (i = n = 0; i < TABLESIZE; i += 4) { + int normvalue, parvalue, value; + + normvalue = (int) rint(table[i]*TABLEFACTOR); + parvalue = paretovalue(i); + + value = (normvalue+3*parvalue)/4; + if (value < SHRT_MIN) value = SHRT_MIN; + if (value > SHRT_MAX) value = SHRT_MAX; + + printf(" %d", value); + if (++n == 8) { + putchar('\n'); + n = 0; + } + } + + return 0; +} diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/distribution/README.distribution original/iproute2-2.6.16-060323/netem/distribution/README.distribution --- tracenet/iproute2-2.6.16-060323/netem/distribution/README.distribution 1970-01-01 01:00:00.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/distribution/README.distribution 2006-07-13 17:36:36.000000000 +0200 @@ -0,0 +1,97 @@ +Notes about distribution tables from Nistnet +------------------------------------------------------------------------------- +I. About the distribution tables + +The table used for "synthesizing" the distribution is essentially a scaled, +translated, inverse to the cumulative distribution function. + +Here's how to think about it: Let F() be the cumulative distribution +function for a probability distribution X. We'll assume we've scaled +things so that X has mean 0 and standard deviation 1, though that's not +so important here. Then: + + F(x) = P(X <= x) = \int_{-inf}^x f + +where f is the probability density function. + +F is monotonically increasing, so has an inverse function G, with range +0 to 1. Here, G(t) = the x such that P(X <= x) = t. (In general, G may +have singularities if X has point masses, i.e., points x such that +P(X = x) > 0.) + +Now we create a tabular representation of G as follows: Choose some table +size N, and for the ith entry, put in G(i/N). Let's call this table T. + +The claim now is, I can create a (discrete) random variable Y whose +distribution has the same approximate "shape" as X, simply by letting +Y = T(U), where U is a discrete uniform random variable with range 1 to N. +To see this, it's enough to show that Y's cumulative distribution function, +(let's call it H), is a discrete approximation to F. But + + H(x) = P(Y <= x) + = (# of entries in T <= x) / N -- as Y chosen uniformly from T + = i/N, where i is the largest integer such that G(i/N) <= x + = i/N, where i is the largest integer such that i/N <= F(x) + -- since G and F are inverse functions (and F is + increasing) + = floor(N*F(x))/N + +as desired. + +II. How to create distribution tables (in theory) + +How can we create this table in practice? In some cases, F may have a +simple expression which allows evaluating its inverse directly. The +pareto distribution is one example of this. In other cases, and +especially for matching an experimentally observed distribution, it's +easiest simply to create a table for F and "invert" it. Here, we give +a concrete example, namely how the new "experimental" distribution was +created. + +1. Collect enough data points to characterize the distribution. Here, I +collected 25,000 "ping" roundtrip times to a "distant" point (time.nist.gov). +That's far more data than is really necessary, but it was fairly painless to +collect it, so... + +2. Normalize the data so that it has mean 0 and standard deviation 1. + +3. Determine the cumulative distribution. The code I wrote creates a table +covering the range -10 to +10, with granularity .00005. Obviously, this +is absurdly over-precise, but since it's a one-time only computation, I +figured it hardly mattered. + +4. Invert the table: for each table entry F(x) = y, make the y*TABLESIZE +(here, 4096) entry be x*TABLEFACTOR (here, 8192). This creates a table +for the ("normalized") inverse of size TABLESIZE, covering its domain 0 +to 1 with granularity 1/TABLESIZE. Note that even with the granularity +used in creating the table for F, it's possible not all the entries in +the table for G will be filled in. So, make a pass through the +inverse's table, filling in any missing entries by linear interpolation. + +III. How to create distribution tables (in practice) + +If you want to do all this yourself, I've provided several tools to help: + +1. maketable does the steps 2-4 above, and then generates the appropriate +header file. So if you have your own time distribution, you can generate +the header simply by: + + maketable < time.values > header.h + +2. As explained in the other README file, the somewhat sleazy way I have +of generating correlated values needs correction. You can generate your +own correction tables by compiling makesigtable and makemutable with +your header file. Check the Makefile to see how this is done. + +3. Warning: maketable, makesigtable and especially makemutable do +enormous amounts of floating point arithmetic. Don't try running +these on an old 486. (NIST Net itself will run fine on such a +system, since in operation, it just needs to do a few simple integral +calculations. But getting there takes some work.) + +4. The tables produced are all normalized for mean 0 and standard +deviation 1. How do you know what values to use for real? Here, I've +provided a simple "stats" utility. Give it a series of floating point +values, and it will return their mean (mu), standard deviation (sigma), +and correlation coefficient (rho). You can then plug these values +directly into NIST Net. diff -u'rNF^function' tracenet/iproute2-2.6.16-060323/netem/experimental.dat original/iproute2-2.6.16-060323/netem/experimental.dat --- tracenet/iproute2-2.6.16-060323/netem/experimental.dat 2005-02-09 23:05:41.000000000 +0100 +++ original/iproute2-2.6.16-060323/netem/experimental.dat 1970-01-01 01:00:00.000000000 +0100 @@ -1,13448 +0,0 @@ -211.6 -205.6 -203.0 -218.6 -213.9 -199.1 -208.7 -207.7 -203.4 -201.7 -200.3 -213.8 -213.4 -209.8 -204.3 -201.8 -196.3 -216.2 -208.9 -202.4 -205.2 -211.1 -210.9 -208.5 -199.9 -211.6 -211.9 -204.6 -215.4 -202.5 -206.5 -201.1 -198.4 -220.2 -203.7 -219.5 -199.1 -207.6 -205.3 -202.3 -219.7 -230.0 -211.0 -202.7 -209.9 -215.4 -202.9 -209.6 -200.5 -197.3 -212.3 -207.6 -210.5 -202.7 -205.7 -211.2 -208.0 -211.0 -209.4 -204.8 -204.8 -208.7 -210.1 -205.3 -202.5 -210.4 -209.4 -204.5 -204.7 -215.0 -202.6 -209.9 -220.2 -203.8 -206.3 -199.4 -221.8 -200.0 -199.6 -209.3 -206.2 -215.8 -196.9 -211.6 -198.4 -201.2 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