Domain Applications
Specialized CRDTs for automotive, robotics, IoT, and industrial embedded systems
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 |
Next Steps
Try Domain Examples
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