149 lines
4.8 KiB
C#
149 lines
4.8 KiB
C#
#region Copyright notice and license
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// Copyright 2016, Google Inc.
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// All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// * Redistributions of source code must retain the above copyright
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// notice, this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above
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// copyright notice, this list of conditions and the following disclaimer
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// in the documentation and/or other materials provided with the
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// distribution.
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// * Neither the name of Google Inc. nor the names of its
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// contributors may be used to endorse or promote products derived from
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// this software without specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#endregion
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using System;
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using System.Collections.Generic;
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using System.Diagnostics;
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using System.IO;
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using System.Linq;
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using System.Text.RegularExpressions;
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using System.Threading;
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using System.Threading.Tasks;
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using Google.Protobuf;
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using Grpc.Core;
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using Grpc.Core.Utils;
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using Grpc.Testing;
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namespace Grpc.IntegrationTesting
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{
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public interface IInterarrivalTimer
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{
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void WaitForNext();
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Task WaitForNextAsync();
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}
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/// <summary>
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/// Interarrival timer that doesn't wait at all.
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/// </summary>
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public class ClosedLoopInterarrivalTimer : IInterarrivalTimer
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{
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public ClosedLoopInterarrivalTimer()
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{
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}
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public void WaitForNext()
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{
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// NOP
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}
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public Task WaitForNextAsync()
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{
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return Task.FromResult<object>(null);
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}
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}
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/// <summary>
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/// Interarrival timer that generates Poisson process load.
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/// </summary>
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public class PoissonInterarrivalTimer : IInterarrivalTimer
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{
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readonly ExponentialDistribution exponentialDistribution;
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DateTime? lastEventTime;
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public PoissonInterarrivalTimer(double offeredLoad)
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{
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this.exponentialDistribution = new ExponentialDistribution(new Random(), offeredLoad);
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this.lastEventTime = DateTime.UtcNow;
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}
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public void WaitForNext()
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{
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var waitDuration = GetNextWaitDuration();
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int millisTimeout = (int) Math.Round(waitDuration.TotalMilliseconds);
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if (millisTimeout > 0)
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{
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// TODO(jtattermusch): probably only works well for a relatively low interarrival rate
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Thread.Sleep(millisTimeout);
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}
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}
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public async Task WaitForNextAsync()
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{
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var waitDuration = GetNextWaitDuration();
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int millisTimeout = (int) Math.Round(waitDuration.TotalMilliseconds);
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if (millisTimeout > 0)
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{
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// TODO(jtattermusch): probably only works well for a relatively low interarrival rate
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await Task.Delay(millisTimeout);
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}
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}
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private TimeSpan GetNextWaitDuration()
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{
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if (!lastEventTime.HasValue)
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{
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this.lastEventTime = DateTime.Now;
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}
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var origLastEventTime = this.lastEventTime.Value;
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this.lastEventTime = origLastEventTime + TimeSpan.FromSeconds(exponentialDistribution.Next());
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return this.lastEventTime.Value - origLastEventTime;
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}
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/// <summary>
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/// Exp generator.
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/// </summary>
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private class ExponentialDistribution
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{
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readonly Random random;
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readonly double lambda;
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readonly double lambdaReciprocal;
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public ExponentialDistribution(Random random, double lambda)
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{
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this.random = random;
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this.lambda = lambda;
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this.lambdaReciprocal = 1.0 / lambda;
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}
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public double Next()
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{
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double uniform = random.NextDouble();
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// Use 1.0-uni above to avoid NaN if uni is 0
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return lambdaReciprocal * (-Math.Log(1.0 - uniform));
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}
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}
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}
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}
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