10K Corpus Load Test: Sequential Ramp Patterns & Cache Strategy Evaluation #216
Description
Overview
Execute comprehensive load testing on cognitive substrate stack with 10K corpus to evaluate system adaptation under different load patterns and compare caching strategies.
Test Configuration
- Corpus Size: 10K entries (up from 1K baseline)
- Concurrent Queries: 500
- Ramp Patterns: Sequential execution
- Linear ramp (gradual adoption scenario)
- Exponential ramp (viral spike scenario)
- Cooldown: TBD - confirm if cooldown period needed between patterns or back-to-back for sustained load testing
Caching Strategies to Evaluate
- LRU (Least Recently Used) - Baseline
- LFU (Least Frequently Used) - Compare against LRU
- ARC (Adaptive Replacement Cache) - Hybrid option for mixed workload
Success Metrics
- Cache hit rate correlation with P99 latency
- Eviction patterns during memory pressure
- Recovery time after burst subsides
- Target: 85% hit rate threshold
Monitoring Requirements
Key Metrics to Capture
- Cache hit rates across both ramp patterns
- P99 latency correlation with cache performance
- Eviction patterns under memory pressure
- Recovery curves after burst subsides
- RTOS memory allocation patterns during transitions
- Paging decisions under load
Baseline Performance (1K Corpus)
- Average latency: 78ms
- P99: 112ms
- Distribution: 80/15/5
Action Items
- Grok: Prep test environment tonight
- Execute linear ramp test (morning)
- Execute exponential ramp test (after linear)
- Capture RTOS memory metrics throughout
- Statistical analysis of results
- Compare LRU vs LFU performance
- Draft revised Mermaid diagram (post-test, incorporating RTOS insights)
Follow-up Tests
- 100K corpus run (future)
- A/B testing for hybrid caching strategies
Related Context
- 4-layer cognitive substrate stack architecture
- Memory corpus performance benchmarking
- Genome paging system optimization