| 1 | /* This file is part of the Linux Trace Toolkit viewer |
| 2 | * Copyright (C) 2009 Benjamin Poirier <benjamin.poirier@polymtl.ca> |
| 3 | * |
| 4 | * This program is free software; you can redistribute it and/or modify |
| 5 | * it under the terms of the GNU General Public License Version 2 as |
| 6 | * published by the Free Software Foundation; |
| 7 | * |
| 8 | * This program is distributed in the hope that it will be useful, |
| 9 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| 10 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| 11 | * GNU General Public License for more details. |
| 12 | * |
| 13 | * You should have received a copy of the GNU General Public License |
| 14 | * along with this program; if not, write to the Free Software |
| 15 | * Foundation, Inc., 59 Temple Place - Suite 330, Boston, |
| 16 | * MA 02111-1307, USA. |
| 17 | */ |
| 18 | #define _ISOC99_SOURCE |
| 19 | |
| 20 | #ifdef HAVE_CONFIG_H |
| 21 | #include <config.h> |
| 22 | #endif |
| 23 | |
| 24 | #include <errno.h> |
| 25 | #include <math.h> |
| 26 | #include <float.h> |
| 27 | #include <stdlib.h> |
| 28 | #include <stdio.h> |
| 29 | #include <unistd.h> |
| 30 | |
| 31 | #include "sync_chain.h" |
| 32 | |
| 33 | #include "event_analysis_chull.h" |
| 34 | |
| 35 | |
| 36 | #ifndef g_info |
| 37 | #define g_info(format...) g_log (G_LOG_DOMAIN, G_LOG_LEVEL_INFO, format) |
| 38 | #endif |
| 39 | |
| 40 | |
| 41 | typedef enum |
| 42 | { |
| 43 | LOWER, |
| 44 | UPPER |
| 45 | } HullType; |
| 46 | |
| 47 | |
| 48 | typedef enum |
| 49 | { |
| 50 | MINIMUM, |
| 51 | MAXIMUM |
| 52 | } LineType; |
| 53 | |
| 54 | |
| 55 | // Functions common to all analysis modules |
| 56 | static void initAnalysisCHull(SyncState* const syncState); |
| 57 | static void destroyAnalysisCHull(SyncState* const syncState); |
| 58 | |
| 59 | static void analyzeMessageCHull(SyncState* const syncState, Message* const |
| 60 | message); |
| 61 | static GArray* finalizeAnalysisCHull(SyncState* const syncState); |
| 62 | static void printAnalysisStatsCHull(SyncState* const syncState); |
| 63 | static void writeAnalysisGraphsPlotsCHull(SyncState* const syncState, const |
| 64 | unsigned int i, const unsigned int j); |
| 65 | |
| 66 | // Functions specific to this module |
| 67 | static void registerAnalysisCHull() __attribute__((constructor (101))); |
| 68 | |
| 69 | static void openGraphFiles(SyncState* const syncState); |
| 70 | static void closeGraphFiles(SyncState* const syncState); |
| 71 | static void writeGraphFiles(SyncState* const syncState); |
| 72 | static void gfDumpHullToFile(gpointer data, gpointer userData); |
| 73 | |
| 74 | static void grahamScan(GQueue* const hull, Point* const newPoint, const |
| 75 | HullType type); |
| 76 | static int jointCmp(const Point* const p1, const Point* const p2, const Point* |
| 77 | const p3) __attribute__((pure)); |
| 78 | static double crossProductK(const Point const* p1, const Point const* p2, |
| 79 | const Point const* p3, const Point const* p4) __attribute__((pure)); |
| 80 | static Factors* calculateFactorsExact(GQueue* const cu, GQueue* const cl, const |
| 81 | LineType lineType) __attribute__((pure)); |
| 82 | static void calculateFactorsFallback(GQueue* const cr, GQueue* const cs, |
| 83 | FactorsCHull* const result); |
| 84 | static double slope(const Point* const p1, const Point* const p2) |
| 85 | __attribute__((pure)); |
| 86 | static double intercept(const Point* const p1, const Point* const p2) |
| 87 | __attribute__((pure)); |
| 88 | static GArray* reduceFactors(SyncState* const syncState, FactorsCHull** |
| 89 | allFactors); |
| 90 | static double verticalDistance(Point* p1, Point* p2, Point* const point) |
| 91 | __attribute__((pure)); |
| 92 | static void floydWarshall(SyncState* const syncState, FactorsCHull** const |
| 93 | allFactors, double*** const distances, unsigned int*** const |
| 94 | predecessors); |
| 95 | static void getFactors(FactorsCHull** const allFactors, unsigned int** const |
| 96 | predecessors, unsigned int* const references, const unsigned int traceNum, |
| 97 | Factors* const factors); |
| 98 | |
| 99 | static void gfPointDestroy(gpointer data, gpointer userData); |
| 100 | |
| 101 | |
| 102 | static AnalysisModule analysisModuleCHull= { |
| 103 | .name= "chull", |
| 104 | .initAnalysis= &initAnalysisCHull, |
| 105 | .destroyAnalysis= &destroyAnalysisCHull, |
| 106 | .analyzeMessage= &analyzeMessageCHull, |
| 107 | .finalizeAnalysis= &finalizeAnalysisCHull, |
| 108 | .printAnalysisStats= &printAnalysisStatsCHull, |
| 109 | .graphFunctions= { |
| 110 | .writeTraceTraceForePlots= &writeAnalysisGraphsPlotsCHull, |
| 111 | } |
| 112 | }; |
| 113 | |
| 114 | const char* const approxNames[]= { |
| 115 | [EXACT]= "Exact", |
| 116 | [MIDDLE]= "Middle", |
| 117 | [FALLBACK]= "Fallback", |
| 118 | [INCOMPLETE]= "Incomplete", |
| 119 | [ABSENT]= "Absent", |
| 120 | [SCREWED]= "Screwed", |
| 121 | }; |
| 122 | |
| 123 | |
| 124 | /* |
| 125 | * Analysis module registering function |
| 126 | */ |
| 127 | static void registerAnalysisCHull() |
| 128 | { |
| 129 | g_queue_push_tail(&analysisModules, &analysisModuleCHull); |
| 130 | } |
| 131 | |
| 132 | |
| 133 | /* |
| 134 | * Analysis init function |
| 135 | * |
| 136 | * This function is called at the beginning of a synchronization run for a set |
| 137 | * of traces. |
| 138 | * |
| 139 | * Allocate some of the analysis specific data structures |
| 140 | * |
| 141 | * Args: |
| 142 | * syncState container for synchronization data. |
| 143 | * This function allocates or initializes these analysisData |
| 144 | * members: |
| 145 | * hullArray |
| 146 | * dropped |
| 147 | */ |
| 148 | static void initAnalysisCHull(SyncState* const syncState) |
| 149 | { |
| 150 | unsigned int i, j; |
| 151 | AnalysisDataCHull* analysisData; |
| 152 | |
| 153 | analysisData= malloc(sizeof(AnalysisDataCHull)); |
| 154 | syncState->analysisData= analysisData; |
| 155 | |
| 156 | analysisData->hullArray= malloc(syncState->traceNb * sizeof(GQueue**)); |
| 157 | for (i= 0; i < syncState->traceNb; i++) |
| 158 | { |
| 159 | analysisData->hullArray[i]= malloc(syncState->traceNb * sizeof(GQueue*)); |
| 160 | |
| 161 | for (j= 0; j < syncState->traceNb; j++) |
| 162 | { |
| 163 | analysisData->hullArray[i][j]= g_queue_new(); |
| 164 | } |
| 165 | } |
| 166 | |
| 167 | if (syncState->stats) |
| 168 | { |
| 169 | analysisData->stats= malloc(sizeof(AnalysisStatsCHull)); |
| 170 | analysisData->stats->dropped= 0; |
| 171 | analysisData->stats->allFactors= NULL; |
| 172 | } |
| 173 | |
| 174 | if (syncState->graphsStream) |
| 175 | { |
| 176 | analysisData->graphsData= malloc(sizeof(AnalysisGraphsDataCHull)); |
| 177 | openGraphFiles(syncState); |
| 178 | analysisData->graphsData->allFactors= NULL; |
| 179 | } |
| 180 | } |
| 181 | |
| 182 | |
| 183 | /* |
| 184 | * Create and open files used to store convex hull points to genereate |
| 185 | * graphs. Allocate and populate array to store file pointers. |
| 186 | * |
| 187 | * Args: |
| 188 | * syncState: container for synchronization data |
| 189 | */ |
| 190 | static void openGraphFiles(SyncState* const syncState) |
| 191 | { |
| 192 | unsigned int i, j; |
| 193 | int retval; |
| 194 | char* cwd; |
| 195 | char name[31]; |
| 196 | AnalysisDataCHull* analysisData; |
| 197 | |
| 198 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 199 | |
| 200 | cwd= changeToGraphDir(syncState->graphsDir); |
| 201 | |
| 202 | analysisData->graphsData->hullPoints= malloc(syncState->traceNb * |
| 203 | sizeof(FILE**)); |
| 204 | for (i= 0; i < syncState->traceNb; i++) |
| 205 | { |
| 206 | analysisData->graphsData->hullPoints[i]= malloc(syncState->traceNb * |
| 207 | sizeof(FILE*)); |
| 208 | for (j= 0; j < syncState->traceNb; j++) |
| 209 | { |
| 210 | if (i != j) |
| 211 | { |
| 212 | retval= snprintf(name, sizeof(name), |
| 213 | "analysis_chull-%03u_to_%03u.data", j, i); |
| 214 | if (retval > sizeof(name) - 1) |
| 215 | { |
| 216 | name[sizeof(name) - 1]= '\0'; |
| 217 | } |
| 218 | if ((analysisData->graphsData->hullPoints[i][j]= fopen(name, "w")) == |
| 219 | NULL) |
| 220 | { |
| 221 | g_error(strerror(errno)); |
| 222 | } |
| 223 | } |
| 224 | } |
| 225 | } |
| 226 | |
| 227 | retval= chdir(cwd); |
| 228 | if (retval == -1) |
| 229 | { |
| 230 | g_error(strerror(errno)); |
| 231 | } |
| 232 | free(cwd); |
| 233 | } |
| 234 | |
| 235 | |
| 236 | /* |
| 237 | * Write hull points to files to generate graphs. |
| 238 | * |
| 239 | * Args: |
| 240 | * syncState: container for synchronization data |
| 241 | */ |
| 242 | static void writeGraphFiles(SyncState* const syncState) |
| 243 | { |
| 244 | unsigned int i, j; |
| 245 | AnalysisDataCHull* analysisData; |
| 246 | |
| 247 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 248 | |
| 249 | for (i= 0; i < syncState->traceNb; i++) |
| 250 | { |
| 251 | for (j= 0; j < syncState->traceNb; j++) |
| 252 | { |
| 253 | if (i != j) |
| 254 | { |
| 255 | g_queue_foreach(analysisData->hullArray[i][j], |
| 256 | &gfDumpHullToFile, |
| 257 | analysisData->graphsData->hullPoints[i][j]); |
| 258 | } |
| 259 | } |
| 260 | } |
| 261 | } |
| 262 | |
| 263 | |
| 264 | /* |
| 265 | * A GFunc for g_queue_foreach. Write a hull point to a file used to generate |
| 266 | * graphs |
| 267 | * |
| 268 | * Args: |
| 269 | * data: Point*, point to write to the file |
| 270 | * userData: FILE*, file pointer where to write the point |
| 271 | */ |
| 272 | static void gfDumpHullToFile(gpointer data, gpointer userData) |
| 273 | { |
| 274 | Point* point; |
| 275 | |
| 276 | point= (Point*) data; |
| 277 | fprintf((FILE*) userData, "%20llu %20llu\n", point->x, point->y); |
| 278 | } |
| 279 | |
| 280 | |
| 281 | /* |
| 282 | * Close files used to store convex hull points to generate graphs. |
| 283 | * Deallocate array to store file pointers. |
| 284 | * |
| 285 | * Args: |
| 286 | * syncState: container for synchronization data |
| 287 | */ |
| 288 | static void closeGraphFiles(SyncState* const syncState) |
| 289 | { |
| 290 | unsigned int i, j; |
| 291 | AnalysisDataCHull* analysisData; |
| 292 | int retval; |
| 293 | |
| 294 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 295 | |
| 296 | if (analysisData->graphsData->hullPoints == NULL) |
| 297 | { |
| 298 | return; |
| 299 | } |
| 300 | |
| 301 | for (i= 0; i < syncState->traceNb; i++) |
| 302 | { |
| 303 | for (j= 0; j < syncState->traceNb; j++) |
| 304 | { |
| 305 | if (i != j) |
| 306 | { |
| 307 | retval= fclose(analysisData->graphsData->hullPoints[i][j]); |
| 308 | if (retval != 0) |
| 309 | { |
| 310 | g_error(strerror(errno)); |
| 311 | } |
| 312 | } |
| 313 | } |
| 314 | free(analysisData->graphsData->hullPoints[i]); |
| 315 | } |
| 316 | free(analysisData->graphsData->hullPoints); |
| 317 | analysisData->graphsData->hullPoints= NULL; |
| 318 | } |
| 319 | |
| 320 | |
| 321 | /* |
| 322 | * Analysis destroy function |
| 323 | * |
| 324 | * Free the analysis specific data structures |
| 325 | * |
| 326 | * Args: |
| 327 | * syncState container for synchronization data. |
| 328 | * This function deallocates these analysisData members: |
| 329 | * hullArray |
| 330 | * stDev |
| 331 | */ |
| 332 | static void destroyAnalysisCHull(SyncState* const syncState) |
| 333 | { |
| 334 | unsigned int i, j; |
| 335 | AnalysisDataCHull* analysisData; |
| 336 | |
| 337 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 338 | |
| 339 | if (analysisData == NULL) |
| 340 | { |
| 341 | return; |
| 342 | } |
| 343 | |
| 344 | for (i= 0; i < syncState->traceNb; i++) |
| 345 | { |
| 346 | for (j= 0; j < syncState->traceNb; j++) |
| 347 | { |
| 348 | g_queue_foreach(analysisData->hullArray[i][j], gfPointDestroy, NULL); |
| 349 | } |
| 350 | free(analysisData->hullArray[i]); |
| 351 | } |
| 352 | free(analysisData->hullArray); |
| 353 | |
| 354 | if (syncState->stats) |
| 355 | { |
| 356 | if (analysisData->stats->allFactors != NULL) |
| 357 | { |
| 358 | freeAllFactors(syncState->traceNb, analysisData->stats->allFactors); |
| 359 | } |
| 360 | |
| 361 | free(analysisData->stats); |
| 362 | } |
| 363 | |
| 364 | if (syncState->graphsStream) |
| 365 | { |
| 366 | if (analysisData->graphsData->hullPoints != NULL) |
| 367 | { |
| 368 | closeGraphFiles(syncState); |
| 369 | } |
| 370 | |
| 371 | if (!syncState->stats && analysisData->graphsData->allFactors != NULL) |
| 372 | { |
| 373 | freeAllFactors(syncState->traceNb, analysisData->graphsData->allFactors); |
| 374 | } |
| 375 | |
| 376 | free(analysisData->graphsData); |
| 377 | } |
| 378 | |
| 379 | free(syncState->analysisData); |
| 380 | syncState->analysisData= NULL; |
| 381 | } |
| 382 | |
| 383 | |
| 384 | /* |
| 385 | * Perform analysis on an event pair. |
| 386 | * |
| 387 | * Args: |
| 388 | * syncState container for synchronization data |
| 389 | * message structure containing the events |
| 390 | */ |
| 391 | static void analyzeMessageCHull(SyncState* const syncState, Message* const message) |
| 392 | { |
| 393 | AnalysisDataCHull* analysisData; |
| 394 | Point* newPoint; |
| 395 | HullType hullType; |
| 396 | GQueue* hull; |
| 397 | |
| 398 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 399 | |
| 400 | newPoint= malloc(sizeof(Point)); |
| 401 | if (message->inE->traceNum < message->outE->traceNum) |
| 402 | { |
| 403 | // CA is inE->traceNum |
| 404 | newPoint->x= message->inE->cpuTime; |
| 405 | newPoint->y= message->outE->cpuTime; |
| 406 | hullType= UPPER; |
| 407 | g_debug("Reception point hullArray[%lu][%lu] x= inE->time= %llu y= outE->time= %llu", |
| 408 | message->inE->traceNum, message->outE->traceNum, newPoint->x, |
| 409 | newPoint->y); |
| 410 | } |
| 411 | else |
| 412 | { |
| 413 | // CA is outE->traceNum |
| 414 | newPoint->x= message->outE->cpuTime; |
| 415 | newPoint->y= message->inE->cpuTime; |
| 416 | hullType= LOWER; |
| 417 | g_debug("Send point hullArray[%lu][%lu] x= inE->time= %llu y= outE->time= %llu", |
| 418 | message->inE->traceNum, message->outE->traceNum, newPoint->x, |
| 419 | newPoint->y); |
| 420 | } |
| 421 | |
| 422 | hull= |
| 423 | analysisData->hullArray[message->inE->traceNum][message->outE->traceNum]; |
| 424 | |
| 425 | if (hull->length >= 1 && newPoint->x < ((Point*) |
| 426 | g_queue_peek_tail(hull))->x) |
| 427 | { |
| 428 | if (syncState->stats) |
| 429 | { |
| 430 | analysisData->stats->dropped++; |
| 431 | } |
| 432 | |
| 433 | free(newPoint); |
| 434 | } |
| 435 | else |
| 436 | { |
| 437 | grahamScan(hull, newPoint, hullType); |
| 438 | } |
| 439 | } |
| 440 | |
| 441 | |
| 442 | /* |
| 443 | * Construct one half of a convex hull from abscissa-sorted points |
| 444 | * |
| 445 | * Args: |
| 446 | * hull: the points already in the hull |
| 447 | * newPoint: a new point to consider |
| 448 | * type: which half of the hull to construct |
| 449 | */ |
| 450 | static void grahamScan(GQueue* const hull, Point* const newPoint, const |
| 451 | HullType type) |
| 452 | { |
| 453 | int inversionFactor; |
| 454 | |
| 455 | g_debug("grahamScan(hull (length: %u), newPoint, %s)", hull->length, type |
| 456 | == LOWER ? "LOWER" : "UPPER"); |
| 457 | |
| 458 | if (type == LOWER) |
| 459 | { |
| 460 | inversionFactor= 1; |
| 461 | } |
| 462 | else |
| 463 | { |
| 464 | inversionFactor= -1; |
| 465 | } |
| 466 | |
| 467 | if (hull->length >= 2) |
| 468 | { |
| 469 | g_debug("jointCmp(hull[%u], hull[%u], newPoint) * inversionFactor = %d * %d = %d", |
| 470 | hull->length - 2, |
| 471 | hull->length - 1, |
| 472 | jointCmp(g_queue_peek_nth(hull, hull->length - 2), |
| 473 | g_queue_peek_tail(hull), newPoint), |
| 474 | inversionFactor, |
| 475 | jointCmp(g_queue_peek_nth(hull, hull->length - 2), |
| 476 | g_queue_peek_tail(hull), newPoint) * inversionFactor); |
| 477 | } |
| 478 | while (hull->length >= 2 && jointCmp(g_queue_peek_nth(hull, hull->length - |
| 479 | 2), g_queue_peek_tail(hull), newPoint) * inversionFactor <= 0) |
| 480 | { |
| 481 | g_debug("Removing hull[%u]", hull->length); |
| 482 | free((Point*) g_queue_pop_tail(hull)); |
| 483 | |
| 484 | if (hull->length >= 2) |
| 485 | { |
| 486 | g_debug("jointCmp(hull[%u], hull[%u], newPoint) * inversionFactor = %d * %d = %d", |
| 487 | hull->length - 2, |
| 488 | hull->length - 1, |
| 489 | jointCmp(g_queue_peek_nth(hull, hull->length - 2), |
| 490 | g_queue_peek_tail(hull), newPoint), |
| 491 | inversionFactor, |
| 492 | jointCmp(g_queue_peek_nth(hull, hull->length - 2), |
| 493 | g_queue_peek_tail(hull), newPoint) * inversionFactor); |
| 494 | } |
| 495 | } |
| 496 | g_queue_push_tail(hull, newPoint); |
| 497 | } |
| 498 | |
| 499 | |
| 500 | /* |
| 501 | * Finalize the factor calculations |
| 502 | * |
| 503 | * Args: |
| 504 | * syncState container for synchronization data. |
| 505 | * |
| 506 | * Returns: |
| 507 | * Factors[traceNb] synchronization factors for each trace |
| 508 | */ |
| 509 | static GArray* finalizeAnalysisCHull(SyncState* const syncState) |
| 510 | { |
| 511 | AnalysisDataCHull* analysisData; |
| 512 | GArray* factors; |
| 513 | FactorsCHull** allFactors; |
| 514 | |
| 515 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 516 | |
| 517 | if (syncState->graphsStream && analysisData->graphsData->hullPoints != NULL) |
| 518 | { |
| 519 | writeGraphFiles(syncState); |
| 520 | closeGraphFiles(syncState); |
| 521 | } |
| 522 | |
| 523 | allFactors= calculateAllFactors(syncState); |
| 524 | |
| 525 | factors= reduceFactors(syncState, allFactors); |
| 526 | |
| 527 | if (syncState->stats || syncState->graphsStream) |
| 528 | { |
| 529 | if (syncState->stats) |
| 530 | { |
| 531 | analysisData->stats->allFactors= allFactors; |
| 532 | } |
| 533 | |
| 534 | if (syncState->graphsStream) |
| 535 | { |
| 536 | analysisData->graphsData->allFactors= allFactors; |
| 537 | } |
| 538 | } |
| 539 | else |
| 540 | { |
| 541 | freeAllFactors(syncState->traceNb, allFactors); |
| 542 | } |
| 543 | |
| 544 | return factors; |
| 545 | } |
| 546 | |
| 547 | |
| 548 | /* |
| 549 | * Print statistics related to analysis. Must be called after |
| 550 | * finalizeAnalysis. |
| 551 | * |
| 552 | * Args: |
| 553 | * syncState container for synchronization data. |
| 554 | */ |
| 555 | static void printAnalysisStatsCHull(SyncState* const syncState) |
| 556 | { |
| 557 | AnalysisDataCHull* analysisData; |
| 558 | unsigned int i, j; |
| 559 | |
| 560 | if (!syncState->stats) |
| 561 | { |
| 562 | return; |
| 563 | } |
| 564 | |
| 565 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 566 | |
| 567 | printf("Convex hull analysis stats:\n"); |
| 568 | printf("\tout of order packets dropped from analysis: %u\n", |
| 569 | analysisData->stats->dropped); |
| 570 | |
| 571 | printf("\tNumber of points in convex hulls:\n"); |
| 572 | |
| 573 | for (i= 0; i < syncState->traceNb; i++) |
| 574 | { |
| 575 | for (j= i + 1; j < syncState->traceNb; j++) |
| 576 | { |
| 577 | printf("\t\t%3d - %-3d: lower half-hull %-5u upper half-hull %-5u\n", |
| 578 | i, j, analysisData->hullArray[j][i]->length, |
| 579 | analysisData->hullArray[i][j]->length); |
| 580 | } |
| 581 | } |
| 582 | |
| 583 | printf("\tIndividual synchronization factors:\n"); |
| 584 | |
| 585 | for (i= 0; i < syncState->traceNb; i++) |
| 586 | { |
| 587 | for (j= i + 1; j < syncState->traceNb; j++) |
| 588 | { |
| 589 | FactorsCHull* factorsCHull; |
| 590 | |
| 591 | factorsCHull= &analysisData->stats->allFactors[j][i]; |
| 592 | printf("\t\t%3d - %-3d: ", i, j); |
| 593 | |
| 594 | if (factorsCHull->type == EXACT) |
| 595 | { |
| 596 | printf("Exact a0= % 7g a1= 1 %c %7g\n", |
| 597 | factorsCHull->approx->offset, |
| 598 | factorsCHull->approx->drift < 0. ? '-' : '+', |
| 599 | fabs(factorsCHull->approx->drift)); |
| 600 | } |
| 601 | else if (factorsCHull->type == MIDDLE) |
| 602 | { |
| 603 | printf("Middle a0= % 7g a1= 1 %c %7g accuracy %7g\n", |
| 604 | factorsCHull->approx->offset, factorsCHull->approx->drift |
| 605 | - 1. < 0. ? '-' : '+', fabs(factorsCHull->approx->drift - |
| 606 | 1.), factorsCHull->accuracy); |
| 607 | printf("\t\t a0: % 7g to % 7g (delta= %7g)\n", |
| 608 | factorsCHull->max->offset, factorsCHull->min->offset, |
| 609 | factorsCHull->min->offset - factorsCHull->max->offset); |
| 610 | printf("\t\t a1: 1 %+7g to %+7g (delta= %7g)\n", |
| 611 | factorsCHull->min->drift - 1., factorsCHull->max->drift - |
| 612 | 1., factorsCHull->max->drift - factorsCHull->min->drift); |
| 613 | } |
| 614 | else if (factorsCHull->type == FALLBACK) |
| 615 | { |
| 616 | printf("Fallback a0= % 7g a1= 1 %c %7g error= %7g\n", |
| 617 | factorsCHull->approx->offset, factorsCHull->approx->drift |
| 618 | - 1. < 0. ? '-' : '+', fabs(factorsCHull->approx->drift - |
| 619 | 1.), factorsCHull->accuracy); |
| 620 | } |
| 621 | else if (factorsCHull->type == INCOMPLETE) |
| 622 | { |
| 623 | printf("Incomplete\n"); |
| 624 | |
| 625 | if (factorsCHull->min->drift != -INFINITY) |
| 626 | { |
| 627 | printf("\t\t min: a0: % 7g a1: 1 %c %7g\n", |
| 628 | factorsCHull->min->offset, factorsCHull->min->drift - |
| 629 | 1. < 0 ? '-' : '+', fabs(factorsCHull->min->drift - |
| 630 | 1.)); |
| 631 | } |
| 632 | if (factorsCHull->max->drift != INFINITY) |
| 633 | { |
| 634 | printf("\t\t max: a0: % 7g a1: 1 %c %7g\n", |
| 635 | factorsCHull->max->offset, factorsCHull->max->drift - |
| 636 | 1. < 0 ? '-' : '+', fabs(factorsCHull->max->drift - |
| 637 | 1.)); |
| 638 | } |
| 639 | } |
| 640 | else if (factorsCHull->type == SCREWED) |
| 641 | { |
| 642 | printf("Screwed\n"); |
| 643 | |
| 644 | if (factorsCHull->min != NULL && factorsCHull->min->drift != -INFINITY) |
| 645 | { |
| 646 | printf("\t\t min: a0: % 7g a1: 1 %c %7g\n", |
| 647 | factorsCHull->min->offset, factorsCHull->min->drift - |
| 648 | 1. < 0 ? '-' : '+', fabs(factorsCHull->min->drift - |
| 649 | 1.)); |
| 650 | } |
| 651 | if (factorsCHull->max != NULL && factorsCHull->max->drift != INFINITY) |
| 652 | { |
| 653 | printf("\t\t max: a0: % 7g a1: 1 %c %7g\n", |
| 654 | factorsCHull->max->offset, factorsCHull->max->drift - |
| 655 | 1. < 0 ? '-' : '+', fabs(factorsCHull->max->drift - |
| 656 | 1.)); |
| 657 | } |
| 658 | } |
| 659 | else if (factorsCHull->type == ABSENT) |
| 660 | { |
| 661 | printf("Absent\n"); |
| 662 | } |
| 663 | else |
| 664 | { |
| 665 | g_assert_not_reached(); |
| 666 | } |
| 667 | } |
| 668 | } |
| 669 | } |
| 670 | |
| 671 | |
| 672 | /* |
| 673 | * A GFunc for g_queue_foreach() |
| 674 | * |
| 675 | * Args: |
| 676 | * data Point*, point to destroy |
| 677 | * user_data NULL |
| 678 | */ |
| 679 | static void gfPointDestroy(gpointer data, gpointer userData) |
| 680 | { |
| 681 | Point* point; |
| 682 | |
| 683 | point= (Point*) data; |
| 684 | free(point); |
| 685 | } |
| 686 | |
| 687 | |
| 688 | /* |
| 689 | * Find out if a sequence of three points constitutes a "left turn" or a |
| 690 | * "right turn". |
| 691 | * |
| 692 | * Args: |
| 693 | * p1, p2, p3: The three points. |
| 694 | * |
| 695 | * Returns: |
| 696 | * < 0 right turn |
| 697 | * 0 colinear (unlikely result since this uses floating point |
| 698 | * arithmetic) |
| 699 | * > 0 left turn |
| 700 | */ |
| 701 | static int jointCmp(const Point const* p1, const Point const* p2, const |
| 702 | Point const* p3) |
| 703 | { |
| 704 | double result; |
| 705 | const double fuzzFactor= 0.; |
| 706 | |
| 707 | result= crossProductK(p1, p2, p1, p3); |
| 708 | g_debug("crossProductK(p1= (%llu, %llu), p2= (%llu, %llu), p1= (%llu, %llu), p3= (%llu, %llu))= %g", |
| 709 | p1->x, p1->y, p2->x, p2->y, p1->x, p1->y, p3->x, p3->y, result); |
| 710 | if (result < fuzzFactor) |
| 711 | { |
| 712 | return -1; |
| 713 | } |
| 714 | else if (result > fuzzFactor) |
| 715 | { |
| 716 | return 1; |
| 717 | } |
| 718 | else |
| 719 | { |
| 720 | return 0; |
| 721 | } |
| 722 | } |
| 723 | |
| 724 | |
| 725 | /* |
| 726 | * Calculate the k component of the cross product of two vectors. |
| 727 | * |
| 728 | * Args: |
| 729 | * p1, p2: start and end points of the first vector |
| 730 | * p3, p4: start and end points of the second vector |
| 731 | * |
| 732 | * Returns: |
| 733 | * the k component of the cross product when considering the two vectors to |
| 734 | * be in the i-j plane. The direction (sign) of the result can be useful to |
| 735 | * determine the relative orientation of the two vectors. |
| 736 | */ |
| 737 | static double crossProductK(const Point const* p1, const Point const* p2, |
| 738 | const Point const* p3, const Point const* p4) |
| 739 | { |
| 740 | return ((double) p2->x - p1->x) * ((double) p4->y - p3->y) - ((double) |
| 741 | p2->y - p1->y) * ((double) p4->x - p3->x); |
| 742 | } |
| 743 | |
| 744 | |
| 745 | /* |
| 746 | * Free a container of FactorsCHull |
| 747 | * |
| 748 | * Args: |
| 749 | * traceNb: number of traces |
| 750 | * allFactors: container of FactorsCHull |
| 751 | */ |
| 752 | void freeAllFactors(const unsigned int traceNb, FactorsCHull** const |
| 753 | allFactors) |
| 754 | { |
| 755 | unsigned int i, j; |
| 756 | |
| 757 | for (i= 0; i < traceNb; i++) |
| 758 | { |
| 759 | for (j= 0; j <= i; j++) |
| 760 | { |
| 761 | destroyFactorsCHull(&allFactors[i][j]); |
| 762 | } |
| 763 | free(allFactors[i]); |
| 764 | } |
| 765 | free(allFactors); |
| 766 | } |
| 767 | |
| 768 | |
| 769 | /* |
| 770 | * Free a FactorsCHull |
| 771 | * |
| 772 | * Args: |
| 773 | * factorsCHull: container of Factors |
| 774 | */ |
| 775 | void destroyFactorsCHull(FactorsCHull* factorsCHull) |
| 776 | { |
| 777 | if (factorsCHull->type == MIDDLE || factorsCHull->type == |
| 778 | INCOMPLETE || factorsCHull->type == ABSENT) |
| 779 | { |
| 780 | free(factorsCHull->min); |
| 781 | free(factorsCHull->max); |
| 782 | } |
| 783 | else if (factorsCHull->type == SCREWED) |
| 784 | { |
| 785 | if (factorsCHull->min != NULL) |
| 786 | { |
| 787 | free(factorsCHull->min); |
| 788 | } |
| 789 | if (factorsCHull->max != NULL) |
| 790 | { |
| 791 | free(factorsCHull->max); |
| 792 | } |
| 793 | } |
| 794 | |
| 795 | if (factorsCHull->type == EXACT || factorsCHull->type == MIDDLE || |
| 796 | factorsCHull->type == FALLBACK) |
| 797 | { |
| 798 | free(factorsCHull->approx); |
| 799 | } |
| 800 | } |
| 801 | |
| 802 | |
| 803 | /* |
| 804 | * Analyze the convex hulls to determine the synchronization factors between |
| 805 | * each pair of trace. |
| 806 | * |
| 807 | * Args: |
| 808 | * syncState container for synchronization data. |
| 809 | * |
| 810 | * Returns: |
| 811 | * FactorsCHull*[TraceNum][TraceNum] array. See the documentation for the |
| 812 | * member allFactors of AnalysisStatsCHull. |
| 813 | */ |
| 814 | FactorsCHull** calculateAllFactors(SyncState* const syncState) |
| 815 | { |
| 816 | unsigned int traceNumA, traceNumB; |
| 817 | FactorsCHull** allFactors; |
| 818 | AnalysisDataCHull* analysisData; |
| 819 | |
| 820 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 821 | |
| 822 | // Allocate allFactors and calculate min and max |
| 823 | allFactors= malloc(syncState->traceNb * sizeof(FactorsCHull*)); |
| 824 | for (traceNumA= 0; traceNumA < syncState->traceNb; traceNumA++) |
| 825 | { |
| 826 | allFactors[traceNumA]= malloc((traceNumA + 1) * sizeof(FactorsCHull)); |
| 827 | |
| 828 | allFactors[traceNumA][traceNumA].type= EXACT; |
| 829 | allFactors[traceNumA][traceNumA].approx= malloc(sizeof(Factors)); |
| 830 | allFactors[traceNumA][traceNumA].approx->drift= 1.; |
| 831 | allFactors[traceNumA][traceNumA].approx->offset= 0.; |
| 832 | |
| 833 | for (traceNumB= 0; traceNumB < traceNumA; traceNumB++) |
| 834 | { |
| 835 | unsigned int i; |
| 836 | GQueue* cs, * cr; |
| 837 | const struct |
| 838 | { |
| 839 | LineType lineType; |
| 840 | size_t factorsOffset; |
| 841 | } loopValues[]= { |
| 842 | {MINIMUM, offsetof(FactorsCHull, min)}, |
| 843 | {MAXIMUM, offsetof(FactorsCHull, max)} |
| 844 | }; |
| 845 | |
| 846 | cr= analysisData->hullArray[traceNumB][traceNumA]; |
| 847 | cs= analysisData->hullArray[traceNumA][traceNumB]; |
| 848 | |
| 849 | for (i= 0; i < sizeof(loopValues) / sizeof(*loopValues); i++) |
| 850 | { |
| 851 | g_debug("allFactors[%u][%u].%s = calculateFactorsExact(cr= hullArray[%u][%u], cs= hullArray[%u][%u], %s)", |
| 852 | traceNumA, traceNumB, loopValues[i].factorsOffset == |
| 853 | offsetof(FactorsCHull, min) ? "min" : "max", traceNumB, |
| 854 | traceNumA, traceNumA, traceNumB, loopValues[i].lineType == |
| 855 | MINIMUM ? "MINIMUM" : "MAXIMUM"); |
| 856 | *((Factors**) ((void*) &allFactors[traceNumA][traceNumB] + |
| 857 | loopValues[i].factorsOffset))= |
| 858 | calculateFactorsExact(cr, cs, loopValues[i].lineType); |
| 859 | } |
| 860 | } |
| 861 | } |
| 862 | |
| 863 | // Calculate approx when possible |
| 864 | for (traceNumA= 0; traceNumA < syncState->traceNb; traceNumA++) |
| 865 | { |
| 866 | for (traceNumB= 0; traceNumB < traceNumA; traceNumB++) |
| 867 | { |
| 868 | FactorsCHull* factorsCHull; |
| 869 | |
| 870 | factorsCHull= &allFactors[traceNumA][traceNumB]; |
| 871 | if (factorsCHull->min == NULL && factorsCHull->max == NULL) |
| 872 | { |
| 873 | factorsCHull->type= FALLBACK; |
| 874 | calculateFactorsFallback(analysisData->hullArray[traceNumB][traceNumA], |
| 875 | analysisData->hullArray[traceNumA][traceNumB], |
| 876 | &allFactors[traceNumA][traceNumB]); |
| 877 | } |
| 878 | else if (factorsCHull->min != NULL && factorsCHull->max != NULL) |
| 879 | { |
| 880 | if (factorsCHull->min->drift != -INFINITY && |
| 881 | factorsCHull->max->drift != INFINITY) |
| 882 | { |
| 883 | factorsCHull->type= MIDDLE; |
| 884 | calculateFactorsMiddle(factorsCHull); |
| 885 | } |
| 886 | else if (factorsCHull->min->drift != -INFINITY || |
| 887 | factorsCHull->max->drift != INFINITY) |
| 888 | { |
| 889 | factorsCHull->type= INCOMPLETE; |
| 890 | } |
| 891 | else |
| 892 | { |
| 893 | factorsCHull->type= ABSENT; |
| 894 | } |
| 895 | } |
| 896 | else |
| 897 | { |
| 898 | //g_assert_not_reached(); |
| 899 | factorsCHull->type= SCREWED; |
| 900 | } |
| 901 | } |
| 902 | } |
| 903 | |
| 904 | return allFactors; |
| 905 | } |
| 906 | |
| 907 | |
| 908 | /* Calculate approximative factors based on minimum and maximum limits. The |
| 909 | * best approximation to make is the interior bissector of the angle formed by |
| 910 | * the minimum and maximum lines. |
| 911 | * |
| 912 | * The formulae used come from [Haddad, Yoram: Performance dans les systèmes |
| 913 | * répartis: des outils pour les mesures, Université de Paris-Sud, Centre |
| 914 | * d'Orsay, September 1988] Section 6.1 p.44 |
| 915 | * |
| 916 | * The reasoning for choosing this estimator comes from [Duda, A., Harrus, G., |
| 917 | * Haddad, Y., and Bernard, G.: Estimating global time in distributed systems, |
| 918 | * Proc. 7th Int. Conf. on Distributed Computing Systems, Berlin, volume 18, |
| 919 | * 1987] p.303 |
| 920 | * |
| 921 | * Args: |
| 922 | * factors: contains the min and max limits, used to store the result |
| 923 | */ |
| 924 | void calculateFactorsMiddle(FactorsCHull* const factors) |
| 925 | { |
| 926 | double amin, amax, bmin, bmax, bhat; |
| 927 | |
| 928 | amin= factors->max->offset; |
| 929 | amax= factors->min->offset; |
| 930 | bmin= factors->min->drift; |
| 931 | bmax= factors->max->drift; |
| 932 | |
| 933 | g_assert_cmpfloat(bmax, >, bmin); |
| 934 | |
| 935 | factors->approx= malloc(sizeof(Factors)); |
| 936 | bhat= (bmax * bmin - 1. + sqrt(1. + pow(bmax, 2.) * pow(bmin, 2.) + |
| 937 | pow(bmax, 2.) + pow(bmin, 2.))) / (bmax + bmin); |
| 938 | factors->approx->offset= amax - (amax - amin) / 2. * (pow(bhat, 2.) + 1.) |
| 939 | / (1. + bhat * bmax); |
| 940 | factors->approx->drift= bhat; |
| 941 | factors->accuracy= bmax - bmin; |
| 942 | } |
| 943 | |
| 944 | |
| 945 | /* |
| 946 | * Analyze the convex hulls to determine the minimum or maximum |
| 947 | * synchronization factors between one pair of trace. |
| 948 | * |
| 949 | * This implements and improves upon the algorithm in [Haddad, Yoram: |
| 950 | * Performance dans les systèmes répartis: des outils pour les mesures, |
| 951 | * Université de Paris-Sud, Centre d'Orsay, September 1988] Section 6.2 p.47 |
| 952 | * |
| 953 | * Some degenerate cases are possible: |
| 954 | * 1) the result is unbounded. In that case, when searching for the maximum |
| 955 | * factors, result->drift= INFINITY; result->offset= -INFINITY. When |
| 956 | * searching for the minimum factors, it is the opposite. It is not |
| 957 | * possible to improve the situation with this data. |
| 958 | * 2) no line can be above the upper hull and below the lower hull. This is |
| 959 | * because the hulls intersect each other or are reversed. This means that |
| 960 | * an assertion was false. Most probably, the clocks are not linear. It is |
| 961 | * possible to repeat the search with another algorithm that will find a |
| 962 | * "best effort" approximation. See calculateFactorsApprox(). |
| 963 | * |
| 964 | * Args: |
| 965 | * cu: the upper half-convex hull, the line must pass above this |
| 966 | * and touch it in one point |
| 967 | * cl: the lower half-convex hull, the line must pass below this |
| 968 | * and touch it in one point |
| 969 | * lineType: search for minimum or maximum factors |
| 970 | * |
| 971 | * Returns: |
| 972 | * If a result is found, a struct Factors is allocated, filed with the |
| 973 | * result and returned |
| 974 | * NULL otherwise, degenerate case 2 is in effect |
| 975 | */ |
| 976 | static Factors* calculateFactorsExact(GQueue* const cu, GQueue* const cl, const |
| 977 | LineType lineType) |
| 978 | { |
| 979 | GQueue* c1, * c2; |
| 980 | unsigned int i1, i2; |
| 981 | Point* p1, * p2; |
| 982 | double inversionFactor; |
| 983 | Factors* result; |
| 984 | |
| 985 | g_debug("calculateFactorsExact(cu= %p, cl= %p, %s)", cu, cl, lineType == |
| 986 | MINIMUM ? "MINIMUM" : "MAXIMUM"); |
| 987 | |
| 988 | if (lineType == MINIMUM) |
| 989 | { |
| 990 | c1= cl; |
| 991 | c2= cu; |
| 992 | inversionFactor= -1.; |
| 993 | } |
| 994 | else |
| 995 | { |
| 996 | c1= cu; |
| 997 | c2= cl; |
| 998 | inversionFactor= 1.; |
| 999 | } |
| 1000 | |
| 1001 | i1= 0; |
| 1002 | i2= c2->length - 1; |
| 1003 | |
| 1004 | // Check for degenerate case 1 |
| 1005 | if (c1->length == 0 || c2->length == 0 || ((Point*) g_queue_peek_nth(c1, |
| 1006 | i1))->x >= ((Point*) g_queue_peek_nth(c2, i2))->x) |
| 1007 | { |
| 1008 | result= malloc(sizeof(Factors)); |
| 1009 | if (lineType == MINIMUM) |
| 1010 | { |
| 1011 | result->drift= -INFINITY; |
| 1012 | result->offset= INFINITY; |
| 1013 | } |
| 1014 | else |
| 1015 | { |
| 1016 | result->drift= INFINITY; |
| 1017 | result->offset= -INFINITY; |
| 1018 | } |
| 1019 | |
| 1020 | return result; |
| 1021 | } |
| 1022 | |
| 1023 | do |
| 1024 | { |
| 1025 | while |
| 1026 | ( |
| 1027 | (int) i2 - 1 > 0 |
| 1028 | && crossProductK( |
| 1029 | g_queue_peek_nth(c1, i1), |
| 1030 | g_queue_peek_nth(c2, i2), |
| 1031 | g_queue_peek_nth(c1, i1), |
| 1032 | g_queue_peek_nth(c2, i2 - 1)) * inversionFactor < 0. |
| 1033 | ) |
| 1034 | { |
| 1035 | if (((Point*) g_queue_peek_nth(c1, i1))->x |
| 1036 | < ((Point*) g_queue_peek_nth(c2, i2 - 1))->x) |
| 1037 | { |
| 1038 | i2--; |
| 1039 | } |
| 1040 | else |
| 1041 | { |
| 1042 | // Degenerate case 2 |
| 1043 | return NULL; |
| 1044 | } |
| 1045 | } |
| 1046 | while |
| 1047 | ( |
| 1048 | i1 + 1 < c1->length - 1 |
| 1049 | && crossProductK( |
| 1050 | g_queue_peek_nth(c1, i1), |
| 1051 | g_queue_peek_nth(c2, i2), |
| 1052 | g_queue_peek_nth(c1, i1 + 1), |
| 1053 | g_queue_peek_nth(c2, i2)) * inversionFactor < 0. |
| 1054 | ) |
| 1055 | { |
| 1056 | if (((Point*) g_queue_peek_nth(c1, i1 + 1))->x |
| 1057 | < ((Point*) g_queue_peek_nth(c2, i2))->x) |
| 1058 | { |
| 1059 | i1++; |
| 1060 | } |
| 1061 | else |
| 1062 | { |
| 1063 | // Degenerate case 2 |
| 1064 | return NULL; |
| 1065 | } |
| 1066 | } |
| 1067 | } while |
| 1068 | ( |
| 1069 | (int) i2 - 1 > 0 |
| 1070 | && crossProductK( |
| 1071 | g_queue_peek_nth(c1, i1), |
| 1072 | g_queue_peek_nth(c2, i2), |
| 1073 | g_queue_peek_nth(c1, i1), |
| 1074 | g_queue_peek_nth(c2, i2 - 1)) * inversionFactor < 0. |
| 1075 | ); |
| 1076 | |
| 1077 | p1= g_queue_peek_nth(c1, i1); |
| 1078 | p2= g_queue_peek_nth(c2, i2); |
| 1079 | |
| 1080 | g_debug("Resulting points are: c1[i1]: x= %llu y= %llu c2[i2]: x= %llu y= %llu", |
| 1081 | p1->x, p1->y, p2->x, p2->y); |
| 1082 | |
| 1083 | result= malloc(sizeof(Factors)); |
| 1084 | result->drift= slope(p1, p2); |
| 1085 | result->offset= intercept(p1, p2); |
| 1086 | |
| 1087 | g_debug("Resulting factors are: drift= %g offset= %g", result->drift, result->offset); |
| 1088 | |
| 1089 | return result; |
| 1090 | } |
| 1091 | |
| 1092 | |
| 1093 | /* |
| 1094 | * Analyze the convex hulls to determine approximate synchronization factors |
| 1095 | * between one pair of trace when there is no line that can fit in the |
| 1096 | * corridor separating them. |
| 1097 | * |
| 1098 | * This implements the algorithm in [Ashton, P.: Algorithms for Off-line Clock |
| 1099 | * Synchronisation, University of Canterbury, December 1995, 26] Section 4.2.2 |
| 1100 | * p.7 |
| 1101 | * |
| 1102 | * For each point p1 in cr |
| 1103 | * For each point p2 in cs |
| 1104 | * errorMin= 0 |
| 1105 | * Calculate the line paramaters |
| 1106 | * For each point p3 in each convex hull |
| 1107 | * If p3 is on the wrong side of the line |
| 1108 | * error+= distance |
| 1109 | * If error < errorMin |
| 1110 | * Update results |
| 1111 | * |
| 1112 | * Args: |
| 1113 | * cr: the upper half-convex hull |
| 1114 | * cs: the lower half-convex hull |
| 1115 | * result: a pointer to the pre-allocated struct where the results |
| 1116 | * will be stored |
| 1117 | */ |
| 1118 | static void calculateFactorsFallback(GQueue* const cr, GQueue* const cs, |
| 1119 | FactorsCHull* const result) |
| 1120 | { |
| 1121 | unsigned int i, j, k; |
| 1122 | double errorMin; |
| 1123 | Factors* approx; |
| 1124 | |
| 1125 | errorMin= INFINITY; |
| 1126 | approx= malloc(sizeof(Factors)); |
| 1127 | |
| 1128 | for (i= 0; i < cs->length; i++) |
| 1129 | { |
| 1130 | for (j= 0; j < cr->length; j++) |
| 1131 | { |
| 1132 | double error; |
| 1133 | Point p1, p2; |
| 1134 | |
| 1135 | error= 0.; |
| 1136 | |
| 1137 | if (((Point*) g_queue_peek_nth(cs, i))->x < ((Point*)g_queue_peek_nth(cr, j))->x) |
| 1138 | { |
| 1139 | p1= *(Point*)g_queue_peek_nth(cs, i); |
| 1140 | p2= *(Point*)g_queue_peek_nth(cr, j); |
| 1141 | } |
| 1142 | else |
| 1143 | { |
| 1144 | p1= *(Point*)g_queue_peek_nth(cr, j); |
| 1145 | p2= *(Point*)g_queue_peek_nth(cs, i); |
| 1146 | } |
| 1147 | |
| 1148 | // The lower hull should be above the point |
| 1149 | for (k= 0; k < cs->length; k++) |
| 1150 | { |
| 1151 | if (jointCmp(&p1, &p2, g_queue_peek_nth(cs, k)) < 0.) |
| 1152 | { |
| 1153 | error+= verticalDistance(&p1, &p2, g_queue_peek_nth(cs, k)); |
| 1154 | } |
| 1155 | } |
| 1156 | |
| 1157 | // The upper hull should be below the point |
| 1158 | for (k= 0; k < cr->length; k++) |
| 1159 | { |
| 1160 | if (jointCmp(&p1, &p2, g_queue_peek_nth(cr, k)) > 0.) |
| 1161 | { |
| 1162 | error+= verticalDistance(&p1, &p2, g_queue_peek_nth(cr, k)); |
| 1163 | } |
| 1164 | } |
| 1165 | |
| 1166 | if (error < errorMin) |
| 1167 | { |
| 1168 | g_debug("Fallback: i= %u j= %u is a better match (error= %g)", i, j, error); |
| 1169 | approx->drift= slope(&p1, &p2); |
| 1170 | approx->offset= intercept(&p1, &p2); |
| 1171 | errorMin= error; |
| 1172 | } |
| 1173 | } |
| 1174 | } |
| 1175 | |
| 1176 | result->approx= approx; |
| 1177 | result->accuracy= errorMin; |
| 1178 | } |
| 1179 | |
| 1180 | |
| 1181 | /* |
| 1182 | * Calculate the vertical distance between a line and a point |
| 1183 | * |
| 1184 | * Args: |
| 1185 | * p1, p2: Two points defining the line |
| 1186 | * point: a point |
| 1187 | * |
| 1188 | * Return: |
| 1189 | * the vertical distance |
| 1190 | */ |
| 1191 | static double verticalDistance(Point* p1, Point* p2, Point* const point) |
| 1192 | { |
| 1193 | return fabs(slope(p1, p2) * point->x + intercept(p1, p2) - point->y); |
| 1194 | } |
| 1195 | |
| 1196 | |
| 1197 | /* |
| 1198 | * Calculate the slope between two points |
| 1199 | * |
| 1200 | * Args: |
| 1201 | * p1, p2 the two points |
| 1202 | * |
| 1203 | * Returns: |
| 1204 | * the slope |
| 1205 | */ |
| 1206 | static double slope(const Point* const p1, const Point* const p2) |
| 1207 | { |
| 1208 | return ((double) p2->y - p1->y) / (p2->x - p1->x); |
| 1209 | } |
| 1210 | |
| 1211 | |
| 1212 | /* Calculate the y-intercept of a line that passes by two points |
| 1213 | * |
| 1214 | * Args: |
| 1215 | * p1, p2 the two points |
| 1216 | * |
| 1217 | * Returns: |
| 1218 | * the y-intercept |
| 1219 | */ |
| 1220 | static double intercept(const Point* const p1, const Point* const p2) |
| 1221 | { |
| 1222 | return ((double) p2->y * p1->x - (double) p1->y * p2->x) / ((double) p1->x - p2->x); |
| 1223 | } |
| 1224 | |
| 1225 | |
| 1226 | /* |
| 1227 | * Calculate a resulting offset and drift for each trace. |
| 1228 | * |
| 1229 | * Traces are assembled in groups. A group is an "island" of nodes/traces that |
| 1230 | * exchanged messages. A reference is determined for each group by using a |
| 1231 | * shortest path search based on the accuracy of the approximation. This also |
| 1232 | * forms a tree of the best way to relate each node's clock to the reference's |
| 1233 | * based on the accuracy. Sometimes it may be necessary or advantageous to |
| 1234 | * propagate the factors through intermediary clocks. Resulting factors for |
| 1235 | * each trace are determined based on this tree. |
| 1236 | * |
| 1237 | * This part was not the focus of my research. The algorithm used here is |
| 1238 | * inexact in some ways: |
| 1239 | * 1) The reference used may not actually be the best one to use. This is |
| 1240 | * because the accuracy is not corrected based on the drift during the |
| 1241 | * shortest path search. |
| 1242 | * 2) The min and max factors are not propagated and are no longer valid. |
| 1243 | * 3) Approximations of different types (MIDDLE and FALLBACK) are compared |
| 1244 | * together. The "accuracy" parameters of these have different meanings and |
| 1245 | * are not readily comparable. |
| 1246 | * |
| 1247 | * Nevertheless, the result is satisfactory. You just can't tell "how much" it |
| 1248 | * is. |
| 1249 | * |
| 1250 | * Two alternative (and subtly different) ways of propagating factors to |
| 1251 | * preserve min and max bondaries have been proposed, see: |
| 1252 | * [Duda, A., Harrus, G., Haddad, Y., and Bernard, G.: Estimating global time |
| 1253 | * in distributed systems, Proc. 7th Int. Conf. on Distributed Computing |
| 1254 | * Systems, Berlin, volume 18, 1987] p.304 |
| 1255 | * |
| 1256 | * [Jezequel, J.M., and Jard, C.: Building a global clock for observing |
| 1257 | * computations in distributed memory parallel computers, Concurrency: |
| 1258 | * Practice and Experience 8(1), volume 8, John Wiley & Sons, Ltd Chichester, |
| 1259 | * 1996, 32] Section 5; which is mostly the same as |
| 1260 | * [Jezequel, J.M.: Building a global time on parallel machines, Proceedings |
| 1261 | * of the 3rd International Workshop on Distributed Algorithms, LNCS, volume |
| 1262 | * 392, 136–147, 1989] Section 5 |
| 1263 | * |
| 1264 | * Args: |
| 1265 | * syncState: container for synchronization data. |
| 1266 | * allFactors: offset and drift between each pair of traces |
| 1267 | * |
| 1268 | * Returns: |
| 1269 | * Factors[traceNb] synchronization factors for each trace |
| 1270 | */ |
| 1271 | static GArray* reduceFactors(SyncState* const syncState, FactorsCHull** const |
| 1272 | allFactors) |
| 1273 | { |
| 1274 | GArray* factors; |
| 1275 | double** distances; |
| 1276 | unsigned int** predecessors; |
| 1277 | double* distanceSums; |
| 1278 | unsigned int* references; |
| 1279 | unsigned int i, j; |
| 1280 | |
| 1281 | // Solve the all-pairs shortest path problem using the Floyd-Warshall |
| 1282 | // algorithm |
| 1283 | floydWarshall(syncState, allFactors, &distances, &predecessors); |
| 1284 | |
| 1285 | /* Find the reference for each node |
| 1286 | * |
| 1287 | * First calculate, for each node, the sum of the distances to each other |
| 1288 | * node it can reach. |
| 1289 | * |
| 1290 | * Then, go through each "island" of traces to find the trace that has the |
| 1291 | * lowest distance sum. Assign this trace as the reference to each trace |
| 1292 | * of the island. |
| 1293 | */ |
| 1294 | distanceSums= malloc(syncState->traceNb * sizeof(double)); |
| 1295 | for (i= 0; i < syncState->traceNb; i++) |
| 1296 | { |
| 1297 | distanceSums[i]= 0.; |
| 1298 | for (j= 0; j < syncState->traceNb; j++) |
| 1299 | { |
| 1300 | distanceSums[i]+= distances[i][j]; |
| 1301 | } |
| 1302 | } |
| 1303 | |
| 1304 | references= malloc(syncState->traceNb * sizeof(unsigned int)); |
| 1305 | for (i= 0; i < syncState->traceNb; i++) |
| 1306 | { |
| 1307 | references[i]= UINT_MAX; |
| 1308 | } |
| 1309 | for (i= 0; i < syncState->traceNb; i++) |
| 1310 | { |
| 1311 | if (references[i] == UINT_MAX) |
| 1312 | { |
| 1313 | unsigned int reference; |
| 1314 | double distanceSumMin; |
| 1315 | |
| 1316 | // A node is its own reference by default |
| 1317 | reference= i; |
| 1318 | distanceSumMin= INFINITY; |
| 1319 | for (j= 0; j < syncState->traceNb; j++) |
| 1320 | { |
| 1321 | if (distances[i][j] != INFINITY && distanceSums[j] < |
| 1322 | distanceSumMin) |
| 1323 | { |
| 1324 | reference= j; |
| 1325 | distanceSumMin= distanceSums[j]; |
| 1326 | } |
| 1327 | } |
| 1328 | for (j= 0; j < syncState->traceNb; j++) |
| 1329 | { |
| 1330 | if (distances[i][j] != INFINITY) |
| 1331 | { |
| 1332 | references[j]= reference; |
| 1333 | } |
| 1334 | } |
| 1335 | } |
| 1336 | } |
| 1337 | |
| 1338 | for (i= 0; i < syncState->traceNb; i++) |
| 1339 | { |
| 1340 | free(distances[i]); |
| 1341 | } |
| 1342 | free(distances); |
| 1343 | free(distanceSums); |
| 1344 | |
| 1345 | /* For each trace, calculate the factors based on their corresponding |
| 1346 | * tree. The tree is rooted at the reference and the shortest path to each |
| 1347 | * other nodes are the branches. |
| 1348 | */ |
| 1349 | factors= g_array_sized_new(FALSE, FALSE, sizeof(Factors), |
| 1350 | syncState->traceNb); |
| 1351 | g_array_set_size(factors, syncState->traceNb); |
| 1352 | for (i= 0; i < syncState->traceNb; i++) |
| 1353 | { |
| 1354 | getFactors(allFactors, predecessors, references, i, &g_array_index(factors, |
| 1355 | Factors, i)); |
| 1356 | } |
| 1357 | |
| 1358 | for (i= 0; i < syncState->traceNb; i++) |
| 1359 | { |
| 1360 | free(predecessors[i]); |
| 1361 | } |
| 1362 | free(predecessors); |
| 1363 | free(references); |
| 1364 | |
| 1365 | return factors; |
| 1366 | } |
| 1367 | |
| 1368 | |
| 1369 | /* |
| 1370 | * Perform an all-source shortest path search using the Floyd-Warshall |
| 1371 | * algorithm. |
| 1372 | * |
| 1373 | * The algorithm is implemented accoding to the description here: |
| 1374 | * http://web.mit.edu/urban_or_book/www/book/chapter6/6.2.2.html |
| 1375 | * |
| 1376 | * Args: |
| 1377 | * syncState: container for synchronization data. |
| 1378 | * allFactors: offset and drift between each pair of traces |
| 1379 | * distances: resulting matrix of the length of the shortest path between |
| 1380 | * two nodes. If there is no path between two nodes, the |
| 1381 | * length is INFINITY |
| 1382 | * predecessors: resulting matrix of each node's predecessor on the shortest |
| 1383 | * path between two nodes |
| 1384 | */ |
| 1385 | static void floydWarshall(SyncState* const syncState, FactorsCHull** const |
| 1386 | allFactors, double*** const distances, unsigned int*** const |
| 1387 | predecessors) |
| 1388 | { |
| 1389 | unsigned int i, j, k; |
| 1390 | |
| 1391 | // Setup initial conditions |
| 1392 | *distances= malloc(syncState->traceNb * sizeof(double*)); |
| 1393 | *predecessors= malloc(syncState->traceNb * sizeof(unsigned int*)); |
| 1394 | for (i= 0; i < syncState->traceNb; i++) |
| 1395 | { |
| 1396 | (*distances)[i]= malloc(syncState->traceNb * sizeof(double)); |
| 1397 | for (j= 0; j < syncState->traceNb; j++) |
| 1398 | { |
| 1399 | if (i == j) |
| 1400 | { |
| 1401 | g_assert(allFactors[i][j].type == EXACT); |
| 1402 | |
| 1403 | (*distances)[i][j]= 0.; |
| 1404 | } |
| 1405 | else |
| 1406 | { |
| 1407 | unsigned int row, col; |
| 1408 | |
| 1409 | if (i > j) |
| 1410 | { |
| 1411 | row= i; |
| 1412 | col= j; |
| 1413 | } |
| 1414 | else if (i < j) |
| 1415 | { |
| 1416 | row= j; |
| 1417 | col= i; |
| 1418 | } |
| 1419 | |
| 1420 | if (allFactors[row][col].type == MIDDLE || |
| 1421 | allFactors[row][col].type == FALLBACK) |
| 1422 | { |
| 1423 | (*distances)[i][j]= allFactors[row][col].accuracy; |
| 1424 | } |
| 1425 | else if (allFactors[row][col].type == INCOMPLETE || |
| 1426 | allFactors[row][col].type == SCREWED || |
| 1427 | allFactors[row][col].type == ABSENT) |
| 1428 | { |
| 1429 | (*distances)[i][j]= INFINITY; |
| 1430 | } |
| 1431 | else |
| 1432 | { |
| 1433 | g_assert_not_reached(); |
| 1434 | } |
| 1435 | } |
| 1436 | } |
| 1437 | |
| 1438 | (*predecessors)[i]= malloc(syncState->traceNb * sizeof(unsigned int)); |
| 1439 | for (j= 0; j < syncState->traceNb; j++) |
| 1440 | { |
| 1441 | if (i != j) |
| 1442 | { |
| 1443 | (*predecessors)[i][j]= i; |
| 1444 | } |
| 1445 | else |
| 1446 | { |
| 1447 | (*predecessors)[i][j]= UINT_MAX; |
| 1448 | } |
| 1449 | } |
| 1450 | } |
| 1451 | |
| 1452 | // Run the iterations |
| 1453 | for (k= 0; k < syncState->traceNb; k++) |
| 1454 | { |
| 1455 | for (i= 0; i < syncState->traceNb; i++) |
| 1456 | { |
| 1457 | for (j= 0; j < syncState->traceNb; j++) |
| 1458 | { |
| 1459 | double distanceMin; |
| 1460 | |
| 1461 | distanceMin= MIN((*distances)[i][j], (*distances)[i][k] + |
| 1462 | (*distances)[k][j]); |
| 1463 | |
| 1464 | if (distanceMin != (*distances)[i][j]) |
| 1465 | { |
| 1466 | (*predecessors)[i][j]= (*predecessors)[k][j]; |
| 1467 | } |
| 1468 | |
| 1469 | (*distances)[i][j]= distanceMin; |
| 1470 | } |
| 1471 | } |
| 1472 | } |
| 1473 | } |
| 1474 | |
| 1475 | |
| 1476 | /* |
| 1477 | * Cummulate the time correction factors to convert a node's time to its |
| 1478 | * reference's time. |
| 1479 | * This function recursively calls itself until it reaches the reference node. |
| 1480 | * |
| 1481 | * Args: |
| 1482 | * allFactors: offset and drift between each pair of traces |
| 1483 | * predecessors: matrix of each node's predecessor on the shortest |
| 1484 | * path between two nodes |
| 1485 | * references: reference node for each node |
| 1486 | * traceNum: node for which to find the factors |
| 1487 | * factors: resulting factors |
| 1488 | */ |
| 1489 | static void getFactors(FactorsCHull** const allFactors, unsigned int** const |
| 1490 | predecessors, unsigned int* const references, const unsigned int traceNum, |
| 1491 | Factors* const factors) |
| 1492 | { |
| 1493 | unsigned int reference; |
| 1494 | |
| 1495 | reference= references[traceNum]; |
| 1496 | |
| 1497 | if (reference == traceNum) |
| 1498 | { |
| 1499 | factors->offset= 0.; |
| 1500 | factors->drift= 1.; |
| 1501 | } |
| 1502 | else |
| 1503 | { |
| 1504 | Factors previousVertexFactors; |
| 1505 | |
| 1506 | getFactors(allFactors, predecessors, references, |
| 1507 | predecessors[reference][traceNum], &previousVertexFactors); |
| 1508 | |
| 1509 | // convertir de traceNum à reference |
| 1510 | |
| 1511 | // allFactors convertit de col à row |
| 1512 | |
| 1513 | if (reference > traceNum) |
| 1514 | { |
| 1515 | factors->offset= previousVertexFactors.drift * |
| 1516 | allFactors[reference][traceNum].approx->offset + |
| 1517 | previousVertexFactors.offset; |
| 1518 | factors->drift= previousVertexFactors.drift * |
| 1519 | allFactors[reference][traceNum].approx->drift; |
| 1520 | } |
| 1521 | else |
| 1522 | { |
| 1523 | factors->offset= previousVertexFactors.drift * (-1. * |
| 1524 | allFactors[traceNum][reference].approx->offset / |
| 1525 | allFactors[traceNum][reference].approx->drift) + |
| 1526 | previousVertexFactors.offset; |
| 1527 | factors->drift= previousVertexFactors.drift * (1. / |
| 1528 | allFactors[traceNum][reference].approx->drift); |
| 1529 | } |
| 1530 | } |
| 1531 | } |
| 1532 | |
| 1533 | |
| 1534 | /* |
| 1535 | * Write the analysis-specific graph lines in the gnuplot script. |
| 1536 | * |
| 1537 | * Args: |
| 1538 | * syncState: container for synchronization data |
| 1539 | * i: first trace number |
| 1540 | * j: second trace number, garanteed to be larger than i |
| 1541 | */ |
| 1542 | void writeAnalysisGraphsPlotsCHull(SyncState* const syncState, const unsigned |
| 1543 | int i, const unsigned int j) |
| 1544 | { |
| 1545 | AnalysisDataCHull* analysisData; |
| 1546 | FactorsCHull* factorsCHull; |
| 1547 | |
| 1548 | analysisData= (AnalysisDataCHull*) syncState->analysisData; |
| 1549 | |
| 1550 | fprintf(syncState->graphsStream, |
| 1551 | "\t\"analysis_chull-%1$03d_to_%2$03d.data\" " |
| 1552 | "title \"Lower half-hull\" with linespoints " |
| 1553 | "linecolor rgb \"#015a01\" linetype 4 pointtype 8 pointsize 0.8, \\\n" |
| 1554 | "\t\"analysis_chull-%2$03d_to_%1$03d.data\" " |
| 1555 | "title \"Upper half-hull\" with linespoints " |
| 1556 | "linecolor rgb \"#003366\" linetype 4 pointtype 10 pointsize 0.8, \\\n", |
| 1557 | i, j); |
| 1558 | |
| 1559 | factorsCHull= &analysisData->graphsData->allFactors[j][i]; |
| 1560 | if (factorsCHull->type == EXACT) |
| 1561 | { |
| 1562 | fprintf(syncState->graphsStream, |
| 1563 | "\t%7g + %7g * x " |
| 1564 | "title \"Exact conversion\" with lines " |
| 1565 | "linecolor rgb \"black\" linetype 1, \\\n", |
| 1566 | factorsCHull->approx->offset, factorsCHull->approx->drift); |
| 1567 | } |
| 1568 | else if (factorsCHull->type == MIDDLE) |
| 1569 | { |
| 1570 | fprintf(syncState->graphsStream, |
| 1571 | "\t%.2f + %.10f * x " |
| 1572 | "title \"Min conversion\" with lines " |
| 1573 | "linecolor rgb \"black\" linetype 5, \\\n", |
| 1574 | factorsCHull->min->offset, factorsCHull->min->drift); |
| 1575 | fprintf(syncState->graphsStream, |
| 1576 | "\t%.2f + %.10f * x " |
| 1577 | "title \"Max conversion\" with lines " |
| 1578 | "linecolor rgb \"black\" linetype 8, \\\n", |
| 1579 | factorsCHull->max->offset, factorsCHull->max->drift); |
| 1580 | fprintf(syncState->graphsStream, |
| 1581 | "\t%.2f + %.10f * x " |
| 1582 | "title \"Middle conversion\" with lines " |
| 1583 | "linecolor rgb \"black\" linetype 1, \\\n", |
| 1584 | factorsCHull->approx->offset, factorsCHull->approx->drift); |
| 1585 | } |
| 1586 | else if (factorsCHull->type == FALLBACK) |
| 1587 | { |
| 1588 | fprintf(syncState->graphsStream, |
| 1589 | "\t%.2f + %.10f * x " |
| 1590 | "title \"Fallback conversion\" with lines " |
| 1591 | "linecolor rgb \"gray60\" linetype 1, \\\n", |
| 1592 | factorsCHull->approx->offset, factorsCHull->approx->drift); |
| 1593 | } |
| 1594 | else if (factorsCHull->type == INCOMPLETE) |
| 1595 | { |
| 1596 | if (factorsCHull->min->drift != -INFINITY) |
| 1597 | { |
| 1598 | fprintf(syncState->graphsStream, |
| 1599 | "\t%.2f + %.10f * x " |
| 1600 | "title \"Min conversion\" with lines " |
| 1601 | "linecolor rgb \"black\" linetype 5, \\\n", |
| 1602 | factorsCHull->min->offset, factorsCHull->min->drift); |
| 1603 | } |
| 1604 | |
| 1605 | if (factorsCHull->max->drift != INFINITY) |
| 1606 | { |
| 1607 | fprintf(syncState->graphsStream, |
| 1608 | "\t%.2f + %.10f * x " |
| 1609 | "title \"Max conversion\" with lines " |
| 1610 | "linecolor rgb \"black\" linetype 8, \\\n", |
| 1611 | factorsCHull->max->offset, factorsCHull->max->drift); |
| 1612 | } |
| 1613 | } |
| 1614 | else if (factorsCHull->type == SCREWED) |
| 1615 | { |
| 1616 | if (factorsCHull->min != NULL && factorsCHull->min->drift != -INFINITY) |
| 1617 | { |
| 1618 | fprintf(syncState->graphsStream, |
| 1619 | "\t%.2f + %.10f * x " |
| 1620 | "title \"Min conversion\" with lines " |
| 1621 | "linecolor rgb \"black\" linetype 5, \\\n", |
| 1622 | factorsCHull->min->offset, factorsCHull->min->drift); |
| 1623 | } |
| 1624 | |
| 1625 | if (factorsCHull->max != NULL && factorsCHull->max->drift != INFINITY) |
| 1626 | { |
| 1627 | fprintf(syncState->graphsStream, |
| 1628 | "\t%.2f + %.10f * x " |
| 1629 | "title \"Max conversion\" with lines " |
| 1630 | "linecolor rgb \"black\" linetype 8, \\\n", |
| 1631 | factorsCHull->max->offset, factorsCHull->max->drift); |
| 1632 | } |
| 1633 | } |
| 1634 | else if (factorsCHull->type == ABSENT) |
| 1635 | { |
| 1636 | } |
| 1637 | else |
| 1638 | { |
| 1639 | g_assert_not_reached(); |
| 1640 | } |
| 1641 | } |