Domain Applications

Why Domain-Specific CRDTs?

Different industries have unique requirements for distributed data management. CRDTosphere provides specialized implementations optimized for the specific constraints and safety requirements of each domain.

🚗

Automotive

ASIL-compliant safety systems

🤖

Robotics

Real-time coordination

🌐

IoT

Edge computing optimization

🏭

Industrial

Process control systems

🚗

Automotive Systems

Safety-critical distributed systems for modern vehicles

Safety Requirements

• ASIL Compliance: Automotive Safety Integrity Level support (A through D)
• Deterministic Timing: Bounded execution times for real-time constraints
• Fault Tolerance: Graceful degradation under component failures
• Memory Safety: No dynamic allocation in safety-critical paths

Use Cases

• Sensor Fusion: Combining data from multiple ECUs
• Vehicle State: Distributed vehicle status management
• Error Tracking: Fault detection and reporting across systems
• Configuration: ECU parameter synchronization

Example: Brake System Coordination

use crdtosphere::automotive::*;

// ASIL-D compliant brake system state
let mut brake_ecu1 = SafetyRegister::<BrakeStatus, ASIL_D>::new(1);
let mut brake_ecu2 = SafetyRegister::<BrakeStatus, ASIL_D>::new(2);

// Safety-critical brake engagement
brake_ecu1.set_with_validation(BrakeStatus::Engaged, timestamp, |status| {
    // Validate brake engagement is physically possible
    status.validate_safety_constraints()
})?;

// Merge with safety prioritization
brake_ecu1.merge_with_safety_check(&brake_ecu2)?;

This example shows ASIL-D compliant brake system coordination with safety validation and deterministic merge operations.

🤖

Robotics Systems

Distributed coordination for autonomous robot swarms

Coordination Challenges

• Dynamic Membership: Robots joining and leaving swarms
• Spatial Coordination: Position and movement synchronization
• Task Assignment: Distributed work allocation
• Communication Limits: Intermittent network connectivity

CRDT Applications

• Swarm Membership: GSet for robot discovery
• Position Tracking: LWWMap for location data
• Status Updates: LWWRegister for robot states
• Shared Mapping: Collaborative environment mapping

Example: Robot Swarm Coordination

use crdtosphere::robotics::*;

// Swarm membership and coordination
let mut swarm = SwarmRegistry::<RobotConfig>::new(robot_id);
let mut position_map = PositionMap::<RobotConfig>::new(robot_id);
let mut task_assignment = TaskMap::<RobotConfig>::new(robot_id);

// Robot joins swarm
swarm.join_swarm(robot_id, capabilities)?;

// Update position with timestamp
position_map.update_position(robot_id, Position::new(x, y, z), timestamp)?;

// Coordinate task assignment
task_assignment.assign_task(robot_id, Task::Patrol(area), priority)?;

Specialized CRDTs for robot swarm coordination with position tracking and task assignment.

🌐

IoT Networks

Edge computing and sensor network optimization

IoT Constraints

• Limited Resources: Minimal memory and processing power
• Intermittent Connectivity: Unreliable network connections
• Power Efficiency: Battery-powered operation
• Scale: Thousands of devices in a network

Optimizations

• Compact Encoding: Minimal wire format overhead
• Delta Synchronization: Only sync changes
• Hierarchical Merging: Edge-to-cloud aggregation
• Adaptive Precision: Quality-based data retention

Example: Sensor Network

use crdtosphere::iot::*;

// Lightweight sensor data aggregation
let mut sensor_data = SensorMap::<IoTConfig>::new(device_id);
let mut device_registry = DeviceSet::<IoTConfig>::new();

// Register device capabilities
device_registry.register_device(device_id, capabilities)?;

// Efficient sensor data updates
sensor_data.update_reading(
    SensorType::Temperature, 
    25.5, 
    timestamp,
    QualityMetric::High
)?;

// Delta sync for bandwidth efficiency
let delta = sensor_data.create_delta_since(last_sync)?;
network.send_delta(delta)?;

Optimized CRDTs for IoT with minimal memory footprint and efficient synchronization.

🏭

Industrial Automation

Process control and manufacturing systems

Industrial Requirements

• High Availability: 99.9%+ uptime requirements
• Process Control: Real-time control loop integration
• Audit Trails: Complete operation history
• Predictive Maintenance: Equipment health monitoring

Applications

• Production Counting: Manufacturing metrics
• Equipment Status: Machine state tracking
• Quality Control: Defect rate monitoring
• Resource Planning: Material flow optimization

Example: Manufacturing Line

use crdtosphere::industrial::*;

// Manufacturing line coordination
let mut production_counter = ProductionCounter::<IndustrialConfig>::new(line_id);
let mut equipment_status = EquipmentMap::<IndustrialConfig>::new(line_id);
let mut quality_metrics = QualityRegister::<IndustrialConfig>::new(line_id);

// Track production with audit trail
production_counter.increment_with_audit(
    product_id, 
    operator_id, 
    timestamp
)?;

// Update equipment status
equipment_status.update_status(
    machine_id,
    EquipmentStatus::Running,
    health_metrics,
    timestamp
)?;

Industrial CRDTs with audit trails and high-availability guarantees for manufacturing systems.

Domain Feature Comparison

Feature	🚗 Automotive	🤖 Robotics	🌐 IoT	🏭 Industrial
Safety Certification	✅ ASIL A-D	⚠️ Application-specific	❌ Not required	✅ SIL 1-4
Real-time Guarantees	✅ Hard RT	✅ Soft RT	⚠️ Best effort	✅ Hard RT
Memory Constraints	⚠️ Moderate	⚠️ Moderate	✅ Severe	❌ Relaxed
Network Reliability	✅ High	⚠️ Variable	❌ Low	✅ High
Audit Requirements	✅ Full	⚠️ Partial	❌ Minimal	✅ Full