Expand description
avx Async - Revolutionary Async Runtime Tokio alternative - 100% Rust std
§Revolutionary Features (Maximum Level - Never Seen Before)
§🔬 Quantum-Inspired Computing
- Quantum scheduler using superposition and entanglement
- Quantum annealing for optimal task ordering
- Quantum interference patterns for load balancing
§🧠 Neural Networks
- Feedforward neural networks for runtime prediction
- Recurrent neural networks for time-series forecasting
- Online learning with adaptive optimization
§⛓️ Blockchain Technology
- Immutable audit trail for all runtime events
- Proof-of-work consensus mechanism
- Distributed consensus for multi-node coordination
§🔐 Cryptographic Security
- Symmetric encryption for secure task execution
- Digital signatures for data integrity
- Secure channels for encrypted communication
§🧬 Genetic Algorithms
- Evolutionary optimization for runtime configuration
- Tournament selection and elitism
- Adaptive mutation and crossover operators
§🤖 AI/ML Capabilities
- Workload prediction with trend analysis
- Anomaly detection using statistical methods
- Performance optimization via reinforcement learning
§🔷 Digital Twin Technology
- Real-time virtual representation
- Historical state tracking and analysis
- Multi-instance comparison
§🌐 Edge Computing
- Distributed task execution across nodes
- Intelligent routing with multiple strategies
- Geographic load balancing
§🏭 Industry 4.0 Foundation
- Real-time metrics with Prometheus export
- Distributed tracing with Jaeger support
- Health checks and auto-scaling
- Work-stealing scheduler
- Zero external dependencies
Re-exports§
pub use metrics::Metrics;pub use metrics::MetricsSnapshot;pub use tracing::TraceContext;pub use tracing::Tracer;pub use tracing::Span;pub use tracing::CompletedSpan;pub use health::HealthCheck;pub use health::HealthStatus;pub use health::HealthReport;pub use autoscale::AutoScaler;pub use autoscale::ScalingConfig;pub use autoscale::ScalingDecision;pub use autoscale::ResourceLimits;pub use ai::WorkloadPredictor;pub use ai::AnomalyDetector;pub use ai::PerformanceOptimizer;pub use digital_twin::DigitalTwin;pub use digital_twin::TwinSnapshot;pub use digital_twin::TwinUpdate;pub use edge::EdgeManager;pub use edge::EdgeNode;pub use edge::DistributionStrategy;pub use edge::TaskDistribution;pub use quantum::QuantumScheduler;pub use quantum::SchedulingDecision;pub use quantum::QuantumStats;pub use neuro::NeuralNetwork;pub use neuro::RecurrentNetwork;pub use neuro::NetworkStats;pub use blockchain::RuntimeBlockchain;pub use blockchain::Block;pub use blockchain::Transaction;pub use blockchain::TransactionType;pub use blockchain::ConsensusManager;pub use crypto::CryptoService;pub use crypto::SecureChannel;pub use crypto::CryptoStats;pub use genomic::GeneticOptimizer;pub use genomic::Genome;pub use genomic::GeneticStats;
Modules§
- ai
- AI/ML Integration for predictive runtime optimization
- autoscale
- Auto-scaling capabilities for Industry 4.0 adaptive systems
- blockchain
- Blockchain Module
- channel
- Async channel for message passing
- crypto
- Cryptographic Module
- digital_
twin - Digital Twin - Virtual representation of runtime state
- edge
- Edge Computing - Distributed runtime capabilities
- genomic
- Genetic Algorithm Optimization
- health
- Health check system for monitoring runtime health
- io
- metrics
- Metrics collection and monitoring for Industry 4.0 compliance
- net
- neuro
- Neural Network Module
- quantum
- Quantum-Inspired Optimization
- tracing
- Distributed tracing support for Industry 4.0
Macros§
Structs§
- Join
Handle - Task handle for spawned futures
- Runtime
- Runtime
Config - Runtime configuration for Industry 4.0 features
- Timeout
Error - Timeout error type