quantrs2_device/quantum_network/network_optimization/
functions.rs1use async_trait::async_trait;
6use chrono::{DateTime, Datelike, Duration as ChronoDuration, Timelike, Utc};
7use serde::{Deserialize, Serialize};
8use std::collections::{BTreeMap, HashMap, VecDeque};
9use std::sync::{Arc, Mutex, RwLock};
10use std::time::Duration;
11use thiserror::Error;
12use tokio::sync::{mpsc, Semaphore};
13use uuid::Uuid;
14
15use crate::quantum_network::distributed_protocols::{
16 NodeId, NodeInfo, PerformanceHistory, PerformanceMetrics, TrainingDataPoint,
17};
18
19use super::type_definitions::*;
20
21#[cfg(test)]
23mod tests {
24 use super::*;
25 #[tokio::test]
26 async fn test_ml_network_optimizer() {
27 let optimizer = MLNetworkOptimizer::new();
28 let network_state = NetworkState {
29 nodes: HashMap::new(),
30 topology: NetworkTopology {
31 nodes: vec![],
32 edges: vec![],
33 edge_weights: HashMap::new(),
34 clustering_coefficient: 0.5,
35 diameter: 5,
36 },
37 performance_metrics: HashMap::new(),
38 load_metrics: HashMap::new(),
39 entanglement_quality: HashMap::new(),
40 centrality_measures: HashMap::new(),
41 };
42 let objectives = vec![
43 OptimizationObjective::MinimizeLatency { weight: 1.0 },
44 OptimizationObjective::MaximizeThroughput { weight: 0.8 },
45 OptimizationObjective::MaximizeFidelity { weight: 0.9 },
46 ];
47 let result = optimizer
48 .optimize_network_performance(&network_state, &objectives)
49 .await;
50 assert!(result.is_ok());
51 let optimization_result =
52 result.expect("Network optimization should succeed with valid input");
53 assert!(optimization_result.overall_improvement_estimate > 0.0);
54 }
55 #[tokio::test]
56 async fn test_quantum_traffic_shaper() {
57 let shaper = QuantumTrafficShaper::new();
58 let predictions = OptimizationPredictions {
59 performance_improvement: 0.3,
60 implementation_steps: vec![],
61 target_nodes: vec![],
62 critical_weight: 1.0,
63 entanglement_weight: 0.9,
64 operations_weight: 0.8,
65 error_correction_weight: 0.7,
66 classical_weight: 0.6,
67 background_weight: 0.3,
68 best_effort_weight: 0.1,
69 critical_queue_size_ratio: 0.4,
70 entanglement_queue_size_ratio: 0.3,
71 operations_queue_size_ratio: 0.15,
72 error_correction_queue_size_ratio: 0.08,
73 classical_queue_size_ratio: 0.04,
74 background_queue_size_ratio: 0.02,
75 best_effort_queue_size_ratio: 0.01,
76 critical_service_rate: 1000.0,
77 entanglement_service_rate: 800.0,
78 operations_service_rate: 600.0,
79 error_correction_service_rate: 400.0,
80 classical_service_rate: 200.0,
81 background_service_rate: 100.0,
82 best_effort_service_rate: 50.0,
83 critical_coherence_threshold: 0.001,
84 entanglement_red_min: 0.7,
85 entanglement_red_max: 0.9,
86 optimal_initial_window: 10.0,
87 optimal_max_window: 1000.0,
88 optimal_backoff_factor: 0.5,
89 optimal_rtt_smoothing: 0.125,
90 };
91 let result = shaper.optimize_traffic_flow(&predictions).await;
92 assert!(result.is_ok());
93 let traffic_result = result.expect("Traffic shaping should succeed with valid predictions");
94 assert_eq!(traffic_result.new_priority_weights.len(), 7);
95 assert!(
96 traffic_result.new_priority_weights[&Priority::CriticalQuantumState]
97 >= traffic_result.new_priority_weights[&Priority::BestEffort]
98 );
99 }
100}