/// <summary>
/// remove degree 1 diamonds and diamonds not used for traffic.
/// </summary>
/// <param name="diamonds"></param>
private static void removeBadDiamonds(ref Hashtable diamonds, UInt32 point, int diamondType, resultObject Result)
{
NetworkGraph g = Result.g;
//Remove level 1 diamonds.
var keysToRemove = new List <UInt32>();
foreach (var key in diamonds.Keys)
{
if (((List <UInt32>)diamonds[key]).Count == 1)
{
keysToRemove.Add((UInt32)key);
}
}
foreach (var key in keysToRemove)
{
diamonds.Remove(key);
}
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
int keysProcessed = 0;
keysToRemove = new List <uint>();
//for diamonds that arer peer nad provider make sure
//the point doesn't have a better path
// to the stub.
foreach (var key in diamonds.Keys)
{
Destination k = ObjectToText.destinationFromText(bucketTableFile + key + ".csv");
if (diamondType == _peerDiamonds)
{
if (k.BestRelation[point] == Destination._CUSTOMERCOLUMN)
{
keysToRemove.Add((UInt32)key);
}
}
else if (diamondType == _providerDiamonds)
{
if (k.BestRelation[point] == Destination._CUSTOMERCOLUMN)
{
keysToRemove.Add((UInt32)key);
}
else if (k.BestRelation[point] == Destination._PEERCOLUMN)
{
keysToRemove.Add((UInt32)key);
}
}
if (!keysToRemove.Contains((UInt32)key) && !checkFlipOrder(k, (List <UInt32>)diamonds[key], point, Result))
{
keysToRemove.Add((UInt32)key);
}
keysProcessed++;
if (keysProcessed % 500 == 0)
{
Console.WriteLine("processed " + keysProcessed + " out of " + diamonds.Count + " in " + stopwatch.ElapsedMilliseconds + " ms" + DateTime.Now);
}
}
stopwatch.Stop();
Console.WriteLine("processed " + diamonds.Count + " in " + stopwatch.ElapsedMilliseconds + " ms");
foreach (var key in keysToRemove)
{
diamonds.Remove(key);
}
}
public static void getTieBreakSetSize(string[] commandPieces, resultObject Result)
{
if (commandPieces.Length < 2)
{
Console.WriteLine("usage: tiebreakset [AS+ASN | number to sample | b5t5 + number to sample ]");
return;
}
StreamWriter output = new StreamWriter(Console.OpenStandardOutput());
string bucketTableFile = "C:\\Users\\phillipa\\Desktop\\adoptTraffic\\Code\\AzureSecureSimulator\\MakeAllBucketTables\\bin\\Debug\\destinations2010\\";
if (commandPieces.Length > 2)
{
output.Close();
output = new StreamWriter(ResultsExplorer.defaultOutputDirectory + commandPieces[2]);
Console.WriteLine("outputting results to: " + ResultsExplorer.defaultOutputDirectory + commandPieces[2]);
}
string arg = commandPieces[1];
List <AsNode> sampleASes = new List <AsNode>();
if (arg.IndexOf("AS") == 0)
{
//sampling on single AS
}
else if (arg.IndexOf("all") < 0)
{
if (arg.IndexOf("b5t5") == 0)
{
sampleASes.Add(Result.g.GetNode(22822));
sampleASes.Add(Result.g.GetNode(15169));
sampleASes.Add(Result.g.GetNode(8075));
sampleASes.Add(Result.g.GetNode(20940));
sampleASes.Add(Result.g.GetNode(32934));
sampleASes.Add(Result.g.GetNode(7018));
sampleASes.Add(Result.g.GetNode(701));
sampleASes.Add(Result.g.GetNode(174));
sampleASes.Add(Result.g.GetNode(1239));
sampleASes.Add(Result.g.GetNode(3356));
}
arg = arg.Replace("b5t5", "");
int numSamples = 0;
if (int.TryParse(arg, out numSamples))
{
numSamples += sampleASes.Count;
while (sampleASes.Count < numSamples)
{
AsNode rand = Result.g.GetRandomNode();
if (!sampleASes.Contains(rand))
{
sampleASes.Add(rand);
}
}
}
}
else if (arg.IndexOf("all") == 0)
{
sampleASes = Result.g.GetAllNodes().ToList();
}
Console.WriteLine("initiated sample set of size : " + sampleASes.Count);
List <double> stubBestSizes = new List <double>();
List <double> nonStubBestSizes = new List <double>();
List <double> BestSizes = new List <double>();
var stubs = Result.g.getStubs();
var nonstubs = Result.g.getNonStubs();
var allASNs = new List <UInt32>();
foreach (var node in Result.g.GetAllNodes())
{
allASNs.Add(node.NodeNum);
}
foreach (var sample in sampleASes)
{
Destination curr = ObjectToText.destinationFromText(bucketTableFile + sample.NodeNum + ".csv");
//SimulatorLibrary.initMiniDestination(Result.g, sample.NodeNum, false);
var bestSizes = getAverageBestSizes(curr, stubs, nonstubs, allASNs, output);
var avgBest = bestSizes.all;
var sBest = bestSizes.stubs;
var nsBest = bestSizes.nonstubs;
Console.WriteLine("{0} {1:0.00} {2:0.00}(stubs) {3:0.00}(nonstubs)", sample.NodeNum, avgBest, sBest, nsBest);
stubBestSizes.Add(sBest);
nonStubBestSizes.Add(nsBest);
BestSizes.Add(avgBest);
}
Console.WriteLine("-------ALL ASes--------");
Console.WriteLine("AVG: {0:0.000} SD: {1:0.000} MIN: {2:0.000} MAX: {3:0.000}", getMean(BestSizes), getSD(BestSizes, getMean(BestSizes)), getMin(BestSizes), getMax(BestSizes));
Console.WriteLine("-------STUB ASes--------");
Console.WriteLine("AVG: {0:0.000} SD: {1:0.000} MIN: {2:0.000} MAX: {3:0.000}", getMean(stubBestSizes), getSD(stubBestSizes, getMean(stubBestSizes)), getMin(stubBestSizes), getMax(stubBestSizes));
Console.WriteLine("-------NONSTUB ASes--------");
Console.WriteLine("AVG: {0:0.000} SD: {1:0.000} MIN: {2:0.000} MAX: {3:0.000}", getMean(nonStubBestSizes), getSD(nonStubBestSizes, getMean(nonStubBestSizes)), getMin(nonStubBestSizes), getMax(nonStubBestSizes));
output.Close();
}
