Raxol.Performance.PredictiveOptimizer (Raxol v2.0.1)
View SourcePredictive performance optimizer using telemetry data.
Monitors system performance patterns and predictively optimizes:
- Cache warming based on usage patterns
- Buffer pre-allocation for anticipated operations
- Rendering pipeline optimization based on workload
- Adaptive cache sizing based on memory pressure
Uses machine learning-inspired techniques:
- Pattern recognition for operation sequences
- Predictive pre-fetching
- Adaptive thresholds
- Workload classification
Summary
Functions
Returns a specification to start this module under a supervisor.
Get optimization recommendations based on current patterns.
Trigger predictive optimization based on current patterns.
Record a telemetry event for analysis.
Functions
Returns a specification to start this module under a supervisor.
See Supervisor.
Get optimization recommendations based on current patterns.
Trigger predictive optimization based on current patterns.
Record a telemetry event for analysis.