scirs2_integrate/realtime_performance_adaptation/
mod.rs

1//! Real-time performance adaptation system for ODE solvers
2//!
3//! This module provides cutting-edge real-time performance monitoring and
4//! adaptive optimization capabilities. It continuously monitors solver performance
5//! and automatically adjusts algorithms, parameters, and resource allocation
6//! to maintain optimal performance in dynamic computing environments.
7//!
8//! Features:
9//! - Real-time performance metric collection and analysis
10//! - Adaptive algorithm switching based on problem characteristics
11//! - Dynamic resource allocation and load balancing
12//! - Predictive performance modeling and optimization
13//! - Machine learning-based parameter tuning
14//! - Anomaly detection and automatic recovery
15
16#![allow(dead_code)]
17#![allow(clippy::too_many_arguments)]
18
19pub mod algorithm_selector;
20pub mod anomaly_detector;
21pub mod config_adapter;
22pub mod monitor;
23pub mod predictor;
24pub mod resource_manager;
25pub mod types;
26
27// Re-export main types
28pub use algorithm_selector::*;
29pub use anomaly_detector::*;
30pub use config_adapter::*;
31pub use monitor::*;
32pub use predictor::*;
33pub use resource_manager::*;
34pub use types::*;
35
36use crate::common::IntegrateFloat;
37
38impl<F: IntegrateFloat + Default> RealTimeAdaptiveOptimizer<F> {
39    /// Create a new real-time adaptive optimizer
40    pub fn new() -> Self {
41        use std::sync::{Arc, Mutex, RwLock};
42
43        Self {
44            performance_monitor: Arc::new(Mutex::new(PerformanceMonitoringEngine::new())),
45            algorithm_selector: Arc::new(RwLock::new(AdaptiveAlgorithmSelector::new())),
46            resource_manager: Arc::new(Mutex::new(DynamicResourceManager::new())),
47            performance_predictor: Arc::new(Mutex::new(PerformancePredictor::new())),
48            ml_optimizer: Arc::new(Mutex::new(MachineLearningOptimizer::new())),
49            anomaly_detector: Arc::new(Mutex::new(PerformanceAnomalyDetector::new())),
50            config_adapter: Arc::new(Mutex::new(ConfigurationAdapter::new())),
51        }
52    }
53
54    /// Get optimization recommendations based on current performance
55    pub fn get_optimization_recommendations(
56        &self,
57    ) -> crate::error::IntegrateResult<OptimizationRecommendations<F>> {
58        // Implementation would be moved from the original file
59        Ok(OptimizationRecommendations::new())
60    }
61
62    /// Apply optimization recommendations
63    pub fn apply_recommendations(
64        &mut self,
65        _recommendations: &OptimizationRecommendations<F>,
66    ) -> crate::error::IntegrateResult<()> {
67        // Implementation would be moved from the original file
68        Ok(())
69    }
70
71    /// Start optimization with the given strategy
72    pub fn start_optimization(
73        &mut self,
74        _strategy: AdaptationStrategy<F>,
75    ) -> crate::error::IntegrateResult<()> {
76        // Implementation would go here
77        Ok(())
78    }
79
80    /// Perform anomaly detection and recovery
81    pub fn anomaly_detection_and_recovery(
82        &self,
83        _metrics: &[PerformanceMetrics],
84    ) -> crate::error::IntegrateResult<AnomalyAnalysisResult> {
85        // Implementation would analyze the metrics and perform recovery if needed
86        Ok(AnomalyAnalysisResult {
87            anomalies_detected: Vec::new(),
88            analysis: AnomalyAnalysis::normal(),
89            recovery_plan: None,
90            recovery_executed: false,
91        })
92    }
93}
94
95impl<F: IntegrateFloat + Default> Default for RealTimeAdaptiveOptimizer<F> {
96    fn default() -> Self {
97        Self::new()
98    }
99}
scirs2_integrate/realtime_performance_adaptation/mod.rs

scirs2_integrate/realtime_performance_adaptation/
mod.rs
