mirror of
https://github.com/esiur/esiur-dotnet.git
synced 2026-06-13 14:38:43 +00:00
new tests
This commit is contained in:
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net10.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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</Project>
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@@ -0,0 +1 @@
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Console.WriteLine("Hello, World!");
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@@ -0,0 +1,14 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net10.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\..\Libraries\Esiur\Esiur.csproj" />
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</ItemGroup>
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</Project>
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@@ -0,0 +1,390 @@
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// ============================================================
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// Scalability Extension: Fan-Out — ORCHESTRATOR CLIENT
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// ------------------------------------------------------------
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// Drives a full sweep of subscriber counts N against a single
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// server instance. For each N value:
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// 1. Spawns N in-process subscriber tasks, each opening its
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// own EpConnection to the server.
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// 2. Each subscriber attaches to all M resources and counts
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// property-change notifications it receives over a fixed
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// measurement window.
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// 3. The orchestrator polls the server's sys/control resource
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// to capture server-side CPU during the window.
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// 4. Tears down all N subscribers and waits a settle interval
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// before the next sweep point.
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// 5. Repeats for `replications` rounds so the per-N mean and
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// 95% confidence interval can be computed.
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// 6. Auto-stops the sweep if either:
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// - mean per-subscriber rate drops below 10% of theoretical,
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// - or server CPU stays at >180% (>90% of 2 cores) for the
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// entire measurement window.
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//
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// Note on in-process vs separate processes: subscribers are
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// tasks within a single client process to keep the test self-
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// contained and avoid spawning N OS processes. Each task uses
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// its own EpConnection (TCP connection) to the server, so from
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// the server's perspective the load looks identical to N
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// distinct subscriber nodes for the property-propagation path.
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// The single-client-process design does mean that the client
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// host's CPU is shared across all subscribers; the orchestrator
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// records this too so degradation can be attributed correctly.
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// ------------------------------------------------------------
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// Usage:
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// dotnet run -- --host 127.0.0.1 --port 10900 --resources 100 \
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// --emit-interval-ms 50 --window-sec 60 \
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// --warmup-sec 5 --replications 3 \
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// --n-values 2,5,10,20,50,100,200,500
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// ============================================================
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using Esiur.Protocol;
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using Esiur.Resource;
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using System.Data.Common;
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using System.Diagnostics;
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using System.Globalization;
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var host = GetArg(args, "--host", "127.0.0.1");
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var port = int.Parse(GetArg(args, "--port", "10900"));
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var resources = int.Parse(GetArg(args, "--resources", "100"));
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var emitIntervalMs = int.Parse(GetArg(args, "--emit-interval-ms", "50"));
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var windowSec = int.Parse(GetArg(args, "--window-sec", "60"));
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var warmupSec = int.Parse(GetArg(args, "--warmup-sec", "5"));
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var settleSec = int.Parse(GetArg(args, "--settle-sec", "5"));
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var replications = int.Parse(GetArg(args, "--replications", "3"));
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var nValuesStr = GetArg(args, "--n-values", "2,5,10,20,50,100,200,500");
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var outputCsv = GetArg(args, "--output", "fanout_sweep_results.csv");
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var nValues = nValuesStr.Split(',').Select(int.Parse).ToArray();
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double theoreticalMaxRate = 1000.0 / emitIntervalMs * resources;
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double minAcceptableRate = theoreticalMaxRate * 0.10;
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Console.WriteLine($"[Orchestrator] resources={resources} interval={emitIntervalMs}ms "
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+ $"window={windowSec}s replications={replications}");
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Console.WriteLine($"[Orchestrator] theoretical_max_per_subscriber_rate={theoreticalMaxRate:F0} notif/s");
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Console.WriteLine($"[Orchestrator] saturation_threshold={minAcceptableRate:F0} notif/s");
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Console.WriteLine($"[Orchestrator] N values: {string.Join(",", nValues)}");
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// ----------------------------------------------------------------
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// Attach to the server's control resource once.
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// ----------------------------------------------------------------
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var controlWh = new Warehouse();
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dynamic? control = null;
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try
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{
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var controlConn = await controlWh.Get<EpConnection>($"ep://{host}:{port}");
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control = await controlConn.Get("sys/control");
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}
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catch (Exception ex)
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{
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Console.WriteLine($"[Orchestrator] WARNING: could not attach to sys/control: {ex.Message}");
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Console.WriteLine("[Orchestrator] Server CPU will be reported as N/A.");
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}
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// ----------------------------------------------------------------
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// All sweep points x replications, with per-N early-stop logic.
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// ----------------------------------------------------------------
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var allResults = new List<SweepResult>();
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bool saturatedDetected = false;
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foreach (int n in nValues)
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{
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if (saturatedDetected)
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{
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Console.WriteLine($"\n[Orchestrator] N={n}: SKIPPED (saturation reached at lower N)");
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continue;
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}
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var perRepResults = new List<RepResult>();
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for (int rep = 0; rep < replications; rep++)
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{
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Console.WriteLine($"\n[Orchestrator] === N={n} rep={rep + 1}/{replications} ===");
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var subscribers = new SubscriberTask[n];
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var subscriberWhs = new Warehouse[n];
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// ---------- spawn N subscribers ----------
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Console.WriteLine($"[Orchestrator] Spawning {n} subscribers...");
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var spawnSw = Stopwatch.StartNew();
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var spawnTasks = new Task<SubscriberTask?>[n];
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for (int i = 0; i < n; i++)
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{
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int captured = i;
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subscriberWhs[i] = new Warehouse();
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spawnTasks[i] = SpawnSubscriber(subscriberWhs[i], host, port, resources, captured);
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}
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await Task.WhenAll(spawnTasks);
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bool spawnFailed = false;
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for (int i = 0; i < n; i++)
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{
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if (spawnTasks[i].Result == null) { spawnFailed = true; break; }
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subscribers[i] = spawnTasks[i].Result!;
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}
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spawnSw.Stop();
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if (spawnFailed)
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{
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Console.WriteLine($"[Orchestrator] N={n}: spawn failed; treating as saturation.");
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saturatedDetected = true;
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await TeardownAll(subscriberWhs);
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break;
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}
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Console.WriteLine($"[Orchestrator] All {n} subscribers attached in {spawnSw.Elapsed.TotalSeconds:F2}s");
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// ---------- warmup ----------
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Console.WriteLine($"[Orchestrator] Warmup {warmupSec}s...");
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await Task.Delay(warmupSec * 1000);
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foreach (var s in subscribers) s.ResetCounters();
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// ---------- measurement window with CPU sampling ----------
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Console.WriteLine($"[Orchestrator] Measurement window {windowSec}s...");
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var cpuSamples = new List<double>();
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var connSamples = new List<int>();
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var winSw = Stopwatch.StartNew();
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while (winSw.Elapsed.TotalSeconds < windowSec)
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{
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await Task.Delay(1000);
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if (control != null)
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{
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try
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{
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cpuSamples.Add((double)control.CpuPercent);
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connSamples.Add((int)control.ConnectedClients);
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}
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catch { /* control resource may not have current value yet */ }
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}
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}
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double elapsedSec = winSw.Elapsed.TotalSeconds;
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// ---------- collect per-subscriber counts ----------
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var perSubRates = new double[n];
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long totalReceived = 0;
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long totalLate = 0;
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for (int i = 0; i < n; i++)
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{
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perSubRates[i] = subscribers[i].Received / elapsedSec;
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totalReceived += subscribers[i].Received;
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totalLate += subscribers[i].LateDeliveries;
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}
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double meanPerSub = perSubRates.Average();
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double stdPerSub = StdDev(perSubRates);
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double minPerSub = perSubRates.Min();
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double maxPerSub = perSubRates.Max();
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double aggregate = perSubRates.Sum();
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double avgServerCpu = cpuSamples.Count > 0 ? cpuSamples.Average() : double.NaN;
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double peakServerCpu = cpuSamples.Count > 0 ? cpuSamples.Max() : double.NaN;
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Console.WriteLine($"[Orchestrator] N={n} rep={rep + 1}: "
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+ $"mean_per_sub={meanPerSub:F1}/s "
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+ $"aggregate={aggregate:F0}/s "
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+ $"late={totalLate} "
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+ $"server_cpu_avg={avgServerCpu:F1}% peak={peakServerCpu:F1}%");
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perRepResults.Add(new RepResult
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{
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N = n,
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Rep = rep + 1,
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MeanPerSub = meanPerSub,
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StdPerSub = stdPerSub,
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MinPerSub = minPerSub,
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MaxPerSub = maxPerSub,
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Aggregate = aggregate,
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LateDeliveries = totalLate,
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ServerCpuAvg = avgServerCpu,
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ServerCpuPeak = peakServerCpu,
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});
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// ---------- teardown ----------
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Console.WriteLine($"[Orchestrator] Tearing down {n} subscribers...");
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await TeardownAll(subscriberWhs);
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await Task.Delay(settleSec * 1000);
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}
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// ---------- per-N aggregation ----------
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if (perRepResults.Count > 0)
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{
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double meanOfMeans = perRepResults.Average(r => r.MeanPerSub);
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double ciHalfWidth = ConfidenceIntervalHalfWidth95(
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perRepResults.Select(r => r.MeanPerSub).ToArray());
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Console.WriteLine($"\n[Orchestrator] N={n} SUMMARY: "
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+ $"mean_per_sub={meanOfMeans:F1} ± {ciHalfWidth:F1} notif/s (95% CI)");
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// Saturation detection: stop sweep if per-sub rate falls below
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// 10% of theoretical OR server CPU peaked above 180% (>90% of 2 cores)
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if (meanOfMeans < minAcceptableRate)
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{
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Console.WriteLine($"[Orchestrator] *** SATURATION DETECTED: rate {meanOfMeans:F0} < {minAcceptableRate:F0} ***");
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saturatedDetected = true;
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}
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else if (perRepResults.Average(r => r.ServerCpuPeak) > 180.0)
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{
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Console.WriteLine($"[Orchestrator] *** SATURATION DETECTED: server CPU peaked > 180% ***");
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saturatedDetected = true;
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}
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// Aggregate row for CSV
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allResults.Add(new SweepResult
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{
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N = n,
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Replications = perRepResults.Count,
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MeanPerSubRate = meanOfMeans,
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Ci95HalfWidth = ciHalfWidth,
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MeanAggregate = perRepResults.Average(r => r.Aggregate),
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TotalLate = perRepResults.Sum(r => r.LateDeliveries),
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MeanServerCpuAvg = perRepResults.Average(r => r.ServerCpuAvg),
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MeanServerCpuPeak = perRepResults.Average(r => r.ServerCpuPeak),
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});
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}
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}
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// ----------------------------------------------------------------
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// Output
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// ----------------------------------------------------------------
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var sb = new System.Text.StringBuilder();
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sb.AppendLine("n,replications,mean_per_sub_rate,ci95_halfwidth,mean_aggregate," +
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"total_late,mean_server_cpu_avg,mean_server_cpu_peak");
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foreach (var r in allResults)
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{
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sb.AppendLine(string.Create(CultureInfo.InvariantCulture,
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$"{r.N},{r.Replications},{r.MeanPerSubRate:F2},{r.Ci95HalfWidth:F2}," +
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$"{r.MeanAggregate:F1},{r.TotalLate},{r.MeanServerCpuAvg:F2},{r.MeanServerCpuPeak:F2}"));
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}
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await File.WriteAllTextAsync(outputCsv, sb.ToString());
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Console.WriteLine($"\n[Orchestrator] Results written to {outputCsv}");
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// ----------------------------------------------------------------
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// Subscriber spawn / teardown
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// ----------------------------------------------------------------
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static async Task<SubscriberTask?> SpawnSubscriber(
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Warehouse wh, string host, int port, int resources, int subId)
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{
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try
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{
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var conn = await wh.Get<EpConnection>($"ep://{host}:{port}");
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var sub = new SubscriberTask { SubscriberId = subId };
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for (int i = 0; i < resources; i++)
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{
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var proxy = await conn.Get($"sys/sensor_{i}");
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long lastTick = Stopwatch.GetTimestamp();
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proxy.Instance.PropertyModified += (PropertyModificationInfo data) =>
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{
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if (data.Name != "Value") return;
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long now = Stopwatch.GetTimestamp();
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double elapsedMs = (now - lastTick) * 1000.0 / Stopwatch.Frequency;
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lastTick = now;
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Interlocked.Increment(ref sub._received);
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if (elapsedMs > 400) Interlocked.Increment(ref sub._lateDeliveries);
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};
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}
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return sub;
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}
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catch (Exception ex)
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{
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Console.WriteLine($" [Spawn-{subId}] FAILED: {ex.Message}");
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return null;
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}
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}
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static async Task TeardownAll(Warehouse[] whs)
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{
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foreach (var wh in whs)
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{
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try { await wh.Close(); }
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catch { /* ignore */ }
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}
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}
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// ----------------------------------------------------------------
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// Stats helpers
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// ----------------------------------------------------------------
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static double StdDev(double[] xs)
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{
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if (xs.Length < 2) return 0;
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double mean = xs.Average();
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double sumSq = xs.Sum(x => (x - mean) * (x - mean));
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return Math.Sqrt(sumSq / (xs.Length - 1));
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}
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/// <summary>
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/// 95% confidence interval half-width using Student's t-distribution.
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/// For very small samples (n < 3) returns 0 (not enough data).
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/// t values for 95% two-sided are hard-coded; see standard tables.
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/// </summary>
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static double ConfidenceIntervalHalfWidth95(double[] xs)
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{
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int n = xs.Length;
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if (n < 2) return 0;
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double std = StdDev(xs);
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double sem = std / Math.Sqrt(n);
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// t for df=n-1, two-sided 95%
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double t = (n - 1) switch
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{
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1 => 12.706,
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2 => 4.303,
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3 => 3.182,
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4 => 2.776,
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5 => 2.571,
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6 => 2.447,
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7 => 2.365,
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8 => 2.306,
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9 => 2.262,
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_ => 1.960 // normal approximation
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};
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return t * sem;
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}
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static string GetArg(string[] args, string key, string def)
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{
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int i = Array.IndexOf(args, key);
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return (i >= 0 && i + 1 < args.Length) ? args[i + 1] : def;
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}
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// ----------------------------------------------------------------
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// Records
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// ----------------------------------------------------------------
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class SubscriberTask
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{
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public int SubscriberId;
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internal long _received;
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internal long _lateDeliveries;
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public long Received => Interlocked.Read(ref _received);
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public long LateDeliveries => Interlocked.Read(ref _lateDeliveries);
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public void ResetCounters()
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{
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Interlocked.Exchange(ref _received, 0);
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Interlocked.Exchange(ref _lateDeliveries, 0);
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}
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}
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record RepResult
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{
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public int N;
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public int Rep;
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public double MeanPerSub;
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public double StdPerSub;
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public double MinPerSub;
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public double MaxPerSub;
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public double Aggregate;
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public long LateDeliveries;
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public double ServerCpuAvg;
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public double ServerCpuPeak;
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}
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record SweepResult
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{
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public int N;
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public int Replications;
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public double MeanPerSubRate;
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public double Ci95HalfWidth;
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public double MeanAggregate;
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public long TotalLate;
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public double MeanServerCpuAvg;
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public double MeanServerCpuPeak;
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}
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Reference in New Issue
Block a user