public void ConsistentRingProvider_Test3()
{
int NUM_SILOS = 100;
double NUM_QUEUES = 10024.0;
int NUM_AGENTS = 4;
Random random = new Random();
SiloAddress silo1 = SiloAddressUtils.NewLocalSiloAddress(random.Next(100000));
VirtualBucketsRingProvider ring = new VirtualBucketsRingProvider(silo1, NullLoggerFactory.Instance, 50);
//ring.logger.SetSeverityLevel(Severity.Warning);
for (int i = 1; i <= NUM_SILOS - 1; i++)
{
ring.SiloStatusChangeNotification(SiloAddressUtils.NewLocalSiloAddress(random.Next(100000)), SiloStatus.Active);
}
var siloRanges = ring.GetRanges();
var sortedSiloRanges = siloRanges.ToList();
sortedSiloRanges.Sort((t1, t2) => t1.Item2.RangePercentage().CompareTo(t2.Item2.RangePercentage()));
var allAgentRanges = new List <(SiloAddress, List <IRingRangeInternal>)>();
foreach (var siloRange in siloRanges)
{
List <IRingRangeInternal> agentRanges = new List <IRingRangeInternal>();
for (int i = 0; i < NUM_AGENTS; i++)
{
IRingRangeInternal agentRange = (IRingRangeInternal)RangeFactory.GetEquallyDividedSubRange(siloRange.Value, NUM_AGENTS, i);
agentRanges.Add(agentRange);
}
allAgentRanges.Add((siloRange.Key, agentRanges));
}
Dictionary <SiloAddress, List <int> > queueHistogram = GetQueueHistogram(allAgentRanges, (int)NUM_QUEUES);
string str = Utils.EnumerableToString(sortedSiloRanges,
tuple => String.Format("Silo {0} -> Range {1:0.000}%, {2} queues: {3}",
tuple.Item1,
tuple.Item2.RangePercentage(),
queueHistogram[tuple.Item1].Sum(),
Utils.EnumerableToString(queueHistogram[tuple.Item1])), "\n");
output.WriteLine("\n\n*** The whole ring with {0} silos is:\n{1}\n\n", NUM_SILOS, str);
output.WriteLine("Total number of queues is: {0}", queueHistogram.Values.Sum(list => list.Sum()));
output.WriteLine("Expected average range per silo is: {0:0.00}%, expected #queues per silo is: {1:0.00}, expected #queues per agent is: {2:0.000}.",
100.0 / NUM_SILOS, NUM_QUEUES / NUM_SILOS, NUM_QUEUES / (NUM_SILOS * NUM_AGENTS));
output.WriteLine("Min #queues per silo is: {0}, Max #queues per silo is: {1}.",
queueHistogram.Values.Min(list => list.Sum()), queueHistogram.Values.Max(list => list.Sum()));
}