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