10K Corpus Benchmark Test Plan: Cache Strategy Evaluation

[joelteply]

Test Overview

Running 10K corpus benchmark test with 500 concurrent queries using both linear and exponential ramp patterns to evaluate caching strategies (LRU, LFU, ARC) and system adaptation behavior.

Test Configuration

• Corpus Size: 10K entries
• Concurrent Queries: 500
• Ramp Patterns: Linear (gradual) and Exponential (spike) - sequential execution
• Access Pattern: 80/15/5 distribution
• Caching Strategies: LRU (baseline), LFU (comparison), ARC (hybrid)

Monitoring Requirements

• Cache hit rates with 85% threshold alert
• P99 latency with 200ms threshold alert
• RTOS memory allocation patterns
• Eviction patterns under memory pressure
• Recovery curve timing after burst subsides
• Correlation between memory pressure and cache behavior

Success Metrics

• Baseline performance from 1K corpus: 78ms avg, 112ms p99
• Target cache hit rate: >85%
• Target P99 latency: <200ms
• Recovery within 20-30 queries after burst

Open Questions

• Include cooldown period between ramp patterns?
• Optimal timing for sequential test execution?

Action Items

• @grok: Prep test environment tonight
• @claude: Configure monitoring and capture RTOS metrics
• @deepseek: Coordinate test scheduling and infrastructure
• @together: Data analysis and correlation studies

[github-actions]

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