public IterativeDivider(Array array, Array heftArray, Transformator transformator, int spaceDimension,
int histogramResolution, int serverNO, double delta, int pointNO, int kNN, int maxRange,
Shell[] shellsForKNN, Shell[] shellsForRange, double kNNMeasCoeff, double lbMeasCoeff)
: base(array, heftArray, transformator, spaceDimension, histogramResolution, serverNO, delta,
pointNO, kNN, maxRange, shellsForKNN, shellsForRange, kNNMeasCoeff, lbMeasCoeff)
{
}
public RecursiveDivider(Array array, Array heftArray, Transformator transformator, int spaceDimension,
int histogramResolution, int serverNO, double delta, int pointNO, int kNN, int maxRange,
Shell[] shellsForKNN, Shell[] shellsForRange, double kNNMeasCoeff, double lbMeasCoeff)
: base(array, heftArray, transformator, spaceDimension, histogramResolution, serverNO, delta,
pointNO, kNN, maxRange, shellsForKNN, shellsForRange, kNNMeasCoeff, lbMeasCoeff)
{
this.initializationValue = -1.0;
transformator.initializeObjectiveValueArray(this.initializationValue, this.objectiveValueArray);
}
public BaseDivider(Array array, Array heftArray, Transformator transformator, int spaceDimension,
int histogramResolution, int serverNO, double delta, int pointNO, int kNN, int maxRange,
Shell[] shellsForKNN, Shell[] shellsForRange, double kNNMeasCoeff, double lbMeasCoeff)
{
this.heftArray = heftArray;
this.transformator = transformator;
this.spaceDimension = spaceDimension;
this.histogramResolution = histogramResolution;
this.serverNO = serverNO;
this.delta = delta;
this.kNNMeasCoeff = kNNMeasCoeff;
this.lbMeasCoeff = lbMeasCoeff;
int[] lengthsObjectiveValueArray = new int[2 * spaceDimension + 1];
lengthsObjectiveValueArray[0] = serverNO;
for (int idx = 1; idx <= 2 * spaceDimension; idx++)
{
lengthsObjectiveValueArray[idx] = histogramResolution;
}
this.objectiveValueArray = Array.CreateInstance(typeof(double), lengthsObjectiveValueArray);
this.partitionArray = Array.CreateInstance(typeof(Coords[]), lengthsObjectiveValueArray);
this.hasEnoughBinsArray = Array.CreateInstance(typeof(bool), lengthsObjectiveValueArray);
setMeasureInstances(array, pointNO, kNN, maxRange, shellsForKNN, shellsForRange);
}
static void Main(string[] args)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
IntTupleEqualityComparer comparer = new IntTupleEqualityComparer();
CornacchiaMethod cornacchiaMethod = new CornacchiaMethod(comparer);
BacktrackingMethod backtrackingMethod = new BacktrackingMethod(cornacchiaMethod);
ShellBuilder shellBuilder = new ShellBuilder(backtrackingMethod);
Transformator transformator = new Transformator(shellBuilder);
InputParser inputParser = new InputParser(transformator);
HeftArrayCreator heftArrayCreator = new HeftArrayCreator(transformator);
//int kNN = 274;
double kNNMeasCoeff = 1.0;//0.1;
double lbMeasCoeff = 0.0;//0.9;
int serverNO;
int pointNO;
double delta;
int spaceDimension;
int histogramResolution;
Array array;
bool together = inputParser.determineTogetherOrSeparately();
if (together)
{
array = inputParser.parseInputFile(out spaceDimension, out histogramResolution,
out serverNO, out pointNO, out delta);
}
else
{
parseInputSeparately(inputParser, out serverNO, out pointNO, out delta, out spaceDimension,
out histogramResolution, out array);
}
int kNN = (int)Math.Ceiling(delta);
int maxShellNO = transformator.determineMaxRange(spaceDimension, histogramResolution);
Shell[] shellsForKNN = shellBuilder.createShells(maxShellNO, spaceDimension);
int maxRange = transformator.determineMaxRange(spaceDimension, histogramResolution / 2);
Shell[] shellsForRange = shellBuilder.createShells(maxRange, spaceDimension);
Console.WriteLine("Point no.: {0}", pointNO);
Console.WriteLine("Delta: {0}", delta);
Console.WriteLine("kNN measurement coefficient: {0}", kNNMeasCoeff);
Console.WriteLine("Load balancing measurement coefficient: {0}", lbMeasCoeff);
Array heftArray = heftArrayCreator.createHeftArray(spaceDimension, histogramResolution, array);
IterativeDivider divider = new IterativeDivider(array, heftArray, transformator, spaceDimension,
histogramResolution, serverNO, delta, pointNO, kNN, maxRange, shellsForKNN, shellsForRange,
kNNMeasCoeff, lbMeasCoeff);
Coords[] partition;
double objectiveValue = divider.determineObjectiveValue(out partition);
Console.WriteLine("Objective value: {0}", objectiveValue);
Console.WriteLine("Sum of differences between tile hefts and delta: {0}", divider.getDiffSum());
writeOutTiles(serverNO, spaceDimension, partition);
writeOutServers(serverNO, partition);
writeOutCellsToServers(histogramResolution, serverNO, partition);
stopwatch.Stop();
// Write hours, minutes and seconds.
Console.WriteLine("Elapsed time: {0:hh\\:mm\\:ss}", stopwatch.Elapsed);
Console.WriteLine("Press any key to exit!");
Console.Read();
}
public InputParser(Transformator transformator)
{
this.transformator = transformator;
}
public HeftArrayCreator(Transformator transformator)
{
this.transformator = transformator;
}
