StillHammer
063549bf17
Add complete benchmark infrastructure with 4 benchmark categories: **Benchmark Helpers (00_helpers.md)** - BenchmarkTimer.h: High-resolution timing with std::chrono - BenchmarkStats.h: Statistical analysis (mean, median, p95, p99, stddev) - BenchmarkReporter.h: Professional formatted output - benchmark_helpers_demo.cpp: Validation suite **TopicTree Routing (01_topictree.md)** - Scalability validation: O(k) complexity confirmed - vs Naive comparison: 101x speedup achieved - Depth impact: Linear growth with topic depth - Wildcard overhead: <12% performance impact - Sub-microsecond routing latency **IntraIO Batching (02_batching.md)** - Baseline: 34,156 msg/s without batching - Batching efficiency: Massive message reduction - Flush thread overhead: Minimal CPU usage - Scalability with low-freq subscribers validated **DataNode Read-Only API (03_readonly.md)** - Zero-copy speedup: 2x faster than getChild() - Concurrent reads: 23.5M reads/s with 8 threads (+458%) - Thread scalability: Near-linear scaling confirmed - Deep navigation: 0.005µs per level **End-to-End Real World (04_e2e.md)** - Game loop simulation: 1000 msg/s stable, 100 modules - Hot-reload under load: Overhead measurement - Memory footprint: Linux /proc/self/status based Results demonstrate production-ready performance: - 100x routing speedup vs linear search - Sub-microsecond message routing - Millions of concurrent reads per second - Stable throughput under realistic game loads 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
115 lines
2.8 KiB
Markdown
115 lines
2.8 KiB
Markdown
# Plan: IntraIO Batching Benchmarks
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## Objectif
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Mesurer les gains de performance du batching et son overhead.
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---
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## Benchmark E: Baseline sans batching
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**Test**: Mesurer performance sans batching (high-freq subscriber).
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**Setup**:
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- 1 subscriber high-freq sur pattern `"test:*"`
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- Publier 10000 messages rapidement
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- Mesurer temps total, latence moyenne, throughput
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**Mesures**:
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- Temps total: X ms
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- Messages/sec: Y msg/s
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- Latence moyenne: Z µs
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- Allocations mémoire
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**Rôle**: Baseline pour comparer avec batching
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---
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## Benchmark F: Avec batching
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**Test**: Réduction du nombre de messages grâce au batching.
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**Setup**:
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- 1 subscriber low-freq (`batchInterval=100ms`) sur `"test:*"`
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- Publier 10000 messages sur 5 secondes (2000 msg/s)
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- Mesurer nombre de batches reçus
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**Mesures**:
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- Nombre de batches: ~50 (attendu pour 5s @ 100ms interval)
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- Réduction: 10000 messages → 50 batches (200x)
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- Overhead batching: (temps F - temps E) / temps E
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- Latence additionnelle: avg delay avant flush
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**Succès**: Réduction > 100x, overhead < 5%
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---
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## Benchmark G: Overhead du thread de flush
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**Test**: CPU usage du `batchFlushLoop`.
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**Setup**:
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- Créer 0, 10, 100 buffers low-freq actifs
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- Mesurer CPU usage du thread (via `/proc/stat` ou `getrusage`)
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- Interval: 100ms, durée: 10s
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**Mesures**:
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| Buffers actifs | CPU usage (%) |
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|----------------|---------------|
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| 0 | ? |
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| 10 | ? |
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| 100 | ? |
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**Succès**: CPU usage < 5% même avec 100 buffers
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---
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## Benchmark H: Scalabilité subscribers low-freq
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**Test**: Temps de flush global croît linéairement avec nb subs.
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**Setup**:
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- Créer N subscribers low-freq (100ms interval)
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- Tous sur patterns différents
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- Publier 1000 messages matchant tous
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- Mesurer temps du flush périodique
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**Mesures**:
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| Subscribers | Temps flush (ms) | Croissance |
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|-------------|------------------|------------|
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| 1 | ? | baseline |
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| 10 | ? | ~10x |
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| 100 | ? | ~100x |
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**Graphe**: Temps flush = f(N subs) → linéaire
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**Succès**: Croissance linéaire (pas quadratique)
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---
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## Implémentation
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**Fichier**: `benchmark_batching.cpp`
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**Dépendances**:
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- `IntraIOManager` (src/)
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- Helpers: Timer, Stats, Reporter
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**Structure**:
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```cpp
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void benchmarkE_baseline();
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void benchmarkF_batching();
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void benchmarkG_thread_overhead();
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void benchmarkH_scalability();
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int main() {
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benchmarkE_baseline();
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benchmarkF_batching();
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benchmarkG_thread_overhead();
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benchmarkH_scalability();
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}
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```
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**Référence**: `tests/integration/test_11_io_system.cpp` (scenario 6: batching)
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**Note**: Utiliser `std::this_thread::sleep_for()` pour contrôler timing des messages
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