public void OptimalChanged_SlowerSmaller(long minSize, long maxSize, double adjustment, double tolerance)
{
//Sample Velocity Sample Size Action
//==================================================================
//Slower Smaller Ignore sample, Stable
var samples = new[] {
CreateSample(minSize * Math.Pow(1 + adjustment, 0), 1),
CreateSample(minSize * Math.Pow(1 + adjustment, 1), 2),
CreateSample(minSize * Math.Pow(1 + adjustment, 2), 3), // (optimal)
CreateSample(minSize * Math.Pow(1 + adjustment, 3), 2)
};
var lastSample = CreateSample(minSize * Math.Pow(1 + adjustment, 0.5), 1); // (slower smaller)
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Increasing);
samples.ForEach(s => op.RegisterSample(s.Item1, s.Item2));
Assert.AreEqual(samples.Length, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Stablized, op.AdjustmentDirection);
Assert.AreEqual(samples[samples.Length - 2].Item1, op.SuggestedBatchSize);
op.RegisterSample(lastSample.Item1, lastSample.Item2);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Stablized, op.AdjustmentDirection);
Assert.AreEqual(samples[samples.Length - 2].Item1, op.SuggestedBatchSize);
}
public void OptimalChanged_SameBigger(long minSize, long maxSize, double adjustment, double tolerance)
{
//Sample Velocity Sample Size Action
//==================================================================
//Same Bigger Keep sample, Increase
var samples = new[] {
CreateSample(minSize * Math.Pow(1 + adjustment, 0), 1),
CreateSample(minSize * Math.Pow(1 + adjustment, 1), 2),
CreateSample(minSize * Math.Pow(1 + adjustment, 2), 3), // (optimal)
CreateSample(minSize * Math.Pow(1 + adjustment, 3), 2)
};
var lastSample = CreateSample(minSize * Math.Pow(1 + adjustment, 4), 3); // (faster same)
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Increasing);
samples.ForEach(s => op.RegisterSample(s.Item1, s.Item2));
Assert.AreEqual(samples.Length, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Stablized, op.AdjustmentDirection);
Assert.AreEqual(samples[samples.Length - 2].Item1, op.SuggestedBatchSize);
op.RegisterSample(lastSample.Item1, lastSample.Item2);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Increasing, op.AdjustmentDirection);
Assert.That(Math.Round(lastSample.Item1 * (1.0 + adjustment), 0), Is.EqualTo(op.SuggestedBatchSize).Within(tolerance));
}
public void FindOptimal_Decreasing(long minSize, long maxSize, double adjustment, double tolerance)
{
var samples = new [] {
CreateSample(maxSize * Math.Pow(1 - adjustment, 0), 1),
CreateSample(maxSize * Math.Pow(1 - adjustment, 1), 2),
CreateSample(maxSize * Math.Pow(1 - adjustment, 2), 3), // (optimal)
CreateSample(maxSize * Math.Pow(1 - adjustment, 3), 2),
};
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Decreasing);
op.RegisterSample(samples[0].Item1, samples[0].Item2);
Assert.AreEqual(1, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Decreasing, op.AdjustmentDirection);
op.RegisterSample(samples[1].Item1, samples[1].Item2);
Assert.AreEqual(2, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Decreasing, op.AdjustmentDirection);
op.RegisterSample(samples[2].Item1, samples[2].Item2);
Assert.AreEqual(3, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Decreasing, op.AdjustmentDirection);
op.RegisterSample(samples[3].Item1, samples[3].Item2);
Assert.AreEqual(4, op.SampleCount);
Assert.AreEqual(ThroughputOptimizer.SamplingAdjustmentDirection.Stablized, op.AdjustmentDirection);
Assert.AreEqual(samples[2].Item1, op.SuggestedBatchSize);
}
public void IgnoreSample_Simple_2(long minSize, long maxSize, double adjustment, double tolerance)
{
const double breach = 0.01;
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Decreasing);
op.RegisterSample((long)Math.Round(maxSize * (1 - (adjustment + tolerance + breach)).ClipTo(0, double.MaxValue), 0), TimeSpan.FromSeconds(1));
op.RegisterSample((long)Math.Round(maxSize * (1 + (adjustment + tolerance + breach)).ClipTo(0, double.MaxValue), 0), TimeSpan.FromSeconds(1));
Assert.AreEqual(op.SampleCount, 0);
}
public void Increase_TwoSamples(long minSize, long maxSize, double adjustment, double tolerance)
{
var samples = new[] {
CreateSample(minSize * Math.Pow(1 + adjustment, 0), 1),
CreateSample(minSize * Math.Pow(1 + adjustment, 1), 2),
};
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Increasing);
op.RegisterSample(samples[0].Item1, samples[0].Item2);
Assert.AreEqual(1, op.SampleCount);
op.RegisterSample(samples[1].Item1, samples[1].Item2);
Assert.AreEqual(2, op.SampleCount);
Assert.AreEqual((long)Math.Round(samples[1].Item1 * (1 + adjustment), 0), op.SuggestedBatchSize);
}
public void Increase_Simple(long minSize, long maxSize, double adjustment, double tolerance)
{
var op = new ThroughputOptimizer(minSize, maxSize, adjustment, tolerance, ThroughputOptimizer.SamplingAdjustmentDirection.Increasing);
op.RegisterSample(minSize, TimeSpan.FromSeconds(1));
Assert.AreEqual(1, op.SampleCount);
Assert.AreEqual((long)Math.Round(minSize * (1 + adjustment), 0), op.SuggestedBatchSize);
}