scirs2_series/advanced_fusion_intelligence/

distributed.rs

//! Distributed Computing Components for Advanced Fusion Intelligence
//!
//! This module contains distributed computing structures and implementations
//! that are not specifically quantum-related, including task scheduling,
//! resource management, and general distributed coordination.

use scirs2_core::ndarray::Array1;
use scirs2_core::numeric::{Float, FromPrimitive};
use std::collections::HashMap;
use std::fmt::Debug;

use crate::error::Result;

/// Distributed task scheduler for general workloads
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DistributedTaskScheduler<F: Float + Debug> {
    task_queue: Vec<DistributedTask<F>>,
    available_nodes: Vec<usize>,
    scheduling_strategy: SchedulingStrategy,
}

/// Individual distributed task
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DistributedTask<F: Float + Debug> {
    task_id: usize,
    task_type: TaskType,
    priority: F,
    resource_requirements: ResourceRequirements<F>,
    completion_status: TaskStatus,
}

/// Types of distributed tasks
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum TaskType {
    /// Computation task
    Computation,
    /// Data processing task
    DataProcessing,
    /// Machine learning task
    MachineLearning,
    /// Quantum computation task
    QuantumComputation,
    /// Analysis task
    Analysis,
}

/// Resource requirements for tasks
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct ResourceRequirements<F: Float + Debug> {
    cpu_cores: usize,
    memory_gb: F,
    storage_gb: F,
    network_bandwidth: F,
    gpu_required: bool,
}

/// Task completion status
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum TaskStatus {
    /// Task is pending
    Pending,
    /// Task is running
    Running,
    /// Task completed successfully
    Completed,
    /// Task failed
    Failed,
    /// Task was cancelled
    Cancelled,
}

/// Strategies for task scheduling
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum SchedulingStrategy {
    /// First-come, first-served
    FCFS,
    /// Round-robin scheduling
    RoundRobin,
    /// Priority-based scheduling
    Priority,
    /// Load balancing
    LoadBalancing,
    /// Quantum-optimal scheduling
    QuantumOptimal,
}

/// Distributed resource manager
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DistributedResourceManager<F: Float + Debug> {
    available_resources: HashMap<usize, NodeResources<F>>,
    resource_allocation: HashMap<usize, Vec<usize>>, // node_id -> task_ids
    load_balancer: LoadBalancer<F>,
}

/// Resources available on a computing node
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct NodeResources<F: Float + Debug> {
    node_id: usize,
    cpu_cores: usize,
    available_memory: F,
    total_memory: F,
    storage_capacity: F,
    network_bandwidth: F,
    gpu_count: usize,
    utilization: F,
}

/// Load balancer for distributed systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct LoadBalancer<F: Float + Debug> {
    balancing_algorithm: LoadBalancingAlgorithm,
    load_metrics: Vec<LoadMetric<F>>,
    rebalancing_threshold: F,
}

/// Load balancing algorithms
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum LoadBalancingAlgorithm {
    /// Round-robin load balancing
    RoundRobin,
    /// Weighted round-robin
    WeightedRoundRobin,
    /// Least connections
    LeastConnections,
    /// CPU-based balancing
    CpuBased,
    /// Memory-based balancing
    MemoryBased,
}

/// Metric for measuring system load
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct LoadMetric<F: Float + Debug> {
    node_id: usize,
    cpu_utilization: F,
    memory_utilization: F,
    network_utilization: F,
    response_time: F,
    task_count: usize,
}

/// Coordinator for distributed intelligence systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DistributedIntelligenceCoordinator<F: Float + Debug> {
    task_scheduler: DistributedTaskScheduler<F>,
    resource_manager: DistributedResourceManager<F>,
    communication_layer: CommunicationLayer<F>,
    fault_tolerance: FaultToleranceSystem<F>,
}

/// Communication layer for distributed systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct CommunicationLayer<F: Float + Debug> {
    communication_protocol: CommunicationProtocol,
    message_queue: Vec<DistributedMessage<F>>,
    network_topology: NetworkTopology,
    bandwidth_allocation: HashMap<usize, F>,
}

/// Communication protocols for distributed systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum CommunicationProtocol {
    /// TCP/IP protocol
    TCP,
    /// UDP protocol
    UDP,
    /// Message passing interface
    MPI,
    /// Remote procedure call
    RPC,
    /// Publish-subscribe
    PubSub,
}

/// Message for distributed communication
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DistributedMessage<F: Float + Debug> {
    message_id: usize,
    sender_id: usize,
    receiver_id: usize,
    message_type: MessageType,
    payload: Vec<F>,
    timestamp: F,
    priority: MessagePriority,
}

/// Types of distributed messages
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum MessageType {
    /// Task assignment message
    TaskAssignment,
    /// Result message
    Result,
    /// Status update message
    StatusUpdate,
    /// Control message
    Control,
    /// Heartbeat message
    Heartbeat,
}

/// Priority levels for messages
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum MessagePriority {
    /// Low priority
    Low,
    /// Normal priority
    Normal,
    /// High priority
    High,
    /// Critical priority
    Critical,
}

/// Network topology for distributed systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum NetworkTopology {
    /// Star topology
    Star,
    /// Ring topology
    Ring,
    /// Mesh topology
    Mesh,
    /// Tree topology
    Tree,
    /// Fully connected topology
    FullyConnected,
}

/// Fault tolerance system for distributed computing
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct FaultToleranceSystem<F: Float + Debug> {
    replication_factor: usize,
    checkpoint_interval: F,
    failure_detection: FailureDetection<F>,
    recovery_mechanisms: Vec<RecoveryMechanism<F>>,
}

/// System for detecting failures in distributed systems
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct FailureDetection<F: Float + Debug> {
    detection_algorithms: Vec<DetectionAlgorithm<F>>,
    heartbeat_interval: F,
    timeout_threshold: F,
    failure_probability: F,
}

/// Algorithm for failure detection
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct DetectionAlgorithm<F: Float + Debug> {
    algorithm_name: String,
    detection_accuracy: F,
    false_positive_rate: F,
    detection_latency: F,
}

/// Mechanism for recovering from failures
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub struct RecoveryMechanism<F: Float + Debug> {
    mechanism_type: RecoveryType,
    recovery_time: F,
    success_rate: F,
    resource_overhead: F,
}

/// Types of recovery mechanisms
#[allow(dead_code)]
#[derive(Debug, Clone)]
pub enum RecoveryType {
    /// Restart failed components
    Restart,
    /// Failover to backup
    Failover,
    /// Load redistribution
    Redistribution,
    /// Checkpoint recovery
    CheckpointRecovery,
    /// Replication recovery
    ReplicationRecovery,
}

impl<F: Float + Debug + Clone + FromPrimitive> DistributedTaskScheduler<F> {
    /// Create new distributed task scheduler
    pub fn new(strategy: SchedulingStrategy) -> Self {
        DistributedTaskScheduler {
            task_queue: Vec::new(),
            available_nodes: vec![0, 1, 2, 3], // Default 4 nodes
            scheduling_strategy: strategy,
        }
    }

    /// Add task to the scheduler
    pub fn add_task(&mut self, task: DistributedTask<F>) {
        self.task_queue.push(task);
    }

    /// Schedule tasks across available nodes
    pub fn schedule_tasks(&mut self) -> Result<HashMap<usize, Vec<usize>>> {
        let mut schedule = HashMap::new();

        match self.scheduling_strategy {
            SchedulingStrategy::RoundRobin => {
                self.round_robin_scheduling(&mut schedule)?;
            }
            SchedulingStrategy::Priority => {
                self.priority_scheduling(&mut schedule)?;
            }
            SchedulingStrategy::LoadBalancing => {
                self.load_balancing_scheduling(&mut schedule)?;
            }
            _ => {
                self.fcfs_scheduling(&mut schedule)?;
            }
        }

        Ok(schedule)
    }

    /// First-come, first-served scheduling
    fn fcfs_scheduling(&mut self, schedule: &mut HashMap<usize, Vec<usize>>) -> Result<()> {
        let mut node_index = 0;

        for task in &self.task_queue {
            let node_id = self.available_nodes[node_index % self.available_nodes.len()];
            let task_list = schedule.entry(node_id).or_default();
            task_list.push(task.task_id);
            node_index += 1;
        }

        Ok(())
    }

    /// Round-robin scheduling
    fn round_robin_scheduling(&mut self, schedule: &mut HashMap<usize, Vec<usize>>) -> Result<()> {
        for (i, task) in self.task_queue.iter().enumerate() {
            let node_id = self.available_nodes[i % self.available_nodes.len()];
            let task_list = schedule.entry(node_id).or_default();
            task_list.push(task.task_id);
        }

        Ok(())
    }

    /// Priority-based scheduling
    fn priority_scheduling(&mut self, schedule: &mut HashMap<usize, Vec<usize>>) -> Result<()> {
        // Sort tasks by priority
        self.task_queue.sort_by(|a, b| {
            b.priority
                .partial_cmp(&a.priority)
                .expect("Operation failed")
        });

        // Assign high-priority tasks first
        let mut node_index = 0;
        for task in &self.task_queue {
            let node_id = self.available_nodes[node_index % self.available_nodes.len()];
            let task_list = schedule.entry(node_id).or_default();
            task_list.push(task.task_id);
            node_index += 1;
        }

        Ok(())
    }

    /// Load balancing scheduling
    fn load_balancing_scheduling(
        &mut self,
        schedule: &mut HashMap<usize, Vec<usize>>,
    ) -> Result<()> {
        // Simplified load balancing - assign to node with least tasks
        for task in &self.task_queue {
            let least_loaded_node = self
                .available_nodes
                .iter()
                .min_by_key(|&&node_id| {
                    schedule.get(&node_id).map(|tasks| tasks.len()).unwrap_or(0)
                })
                .copied()
                .unwrap_or(self.available_nodes[0]);

            let task_list = schedule.entry(least_loaded_node).or_default();
            task_list.push(task.task_id);
        }

        Ok(())
    }

    /// Get scheduling statistics
    pub fn get_scheduling_stats(&self) -> HashMap<String, usize> {
        let mut stats = HashMap::new();
        stats.insert("total_tasks".to_string(), self.task_queue.len());
        stats.insert("available_nodes".to_string(), self.available_nodes.len());

        // Count tasks by status
        let mut pending_count = 0;
        let mut running_count = 0;
        let mut completed_count = 0;

        for task in &self.task_queue {
            match task.completion_status {
                TaskStatus::Pending => pending_count += 1,
                TaskStatus::Running => running_count += 1,
                TaskStatus::Completed => completed_count += 1,
                _ => {}
            }
        }

        stats.insert("pending_tasks".to_string(), pending_count);
        stats.insert("running_tasks".to_string(), running_count);
        stats.insert("completed_tasks".to_string(), completed_count);

        stats
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> DistributedTask<F> {
    /// Create new distributed task
    pub fn new(task_id: usize, task_type: TaskType, priority: F) -> Self {
        DistributedTask {
            task_id,
            task_type,
            priority,
            resource_requirements: ResourceRequirements::default(),
            completion_status: TaskStatus::Pending,
        }
    }

    /// Update task status
    pub fn update_status(&mut self, new_status: TaskStatus) {
        self.completion_status = new_status;
    }

    /// Check if task is complete
    pub fn is_complete(&self) -> bool {
        matches!(self.completion_status, TaskStatus::Completed)
    }

    /// Estimate task execution time
    pub fn estimate_execution_time(&self) -> F {
        match self.task_type {
            TaskType::Computation => F::from_f64(10.0).expect("Operation failed"),
            TaskType::DataProcessing => F::from_f64(15.0).expect("Operation failed"),
            TaskType::MachineLearning => F::from_f64(30.0).expect("Operation failed"),
            TaskType::QuantumComputation => F::from_f64(5.0).expect("Operation failed"),
            TaskType::Analysis => F::from_f64(20.0).expect("Operation failed"),
        }
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for ResourceRequirements<F> {
    fn default() -> Self {
        ResourceRequirements {
            cpu_cores: 2,
            memory_gb: F::from_f64(4.0).expect("Operation failed"),
            storage_gb: F::from_f64(10.0).expect("Operation failed"),
            network_bandwidth: F::from_f64(100.0).expect("Operation failed"), // Mbps
            gpu_required: false,
        }
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for DistributedResourceManager<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> DistributedResourceManager<F> {
    /// Create new distributed resource manager
    pub fn new() -> Self {
        let mut available_resources = HashMap::new();

        // Initialize with default nodes
        for i in 0..4 {
            let node = NodeResources {
                node_id: i,
                cpu_cores: 8,
                available_memory: F::from_f64(16.0).expect("Operation failed"),
                total_memory: F::from_f64(16.0).expect("Operation failed"),
                storage_capacity: F::from_f64(1000.0).expect("Operation failed"),
                network_bandwidth: F::from_f64(1000.0).expect("Operation failed"),
                gpu_count: 1,
                utilization: F::zero(),
            };
            available_resources.insert(i, node);
        }

        DistributedResourceManager {
            available_resources,
            resource_allocation: HashMap::new(),
            load_balancer: LoadBalancer::new(),
        }
    }

    /// Allocate resources for a task
    pub fn allocate_resources(&mut self, task: &DistributedTask<F>) -> Result<Option<usize>> {
        // Find suitable node for the task
        let node_ids: Vec<usize> = self.available_resources.keys().cloned().collect();
        for node_id in node_ids {
            let node_resources = self
                .available_resources
                .get(&node_id)
                .expect("Operation failed");
            if self.can_accommodate_task(node_resources, task) {
                // Allocate resources
                self.allocate_task_to_node(node_id, task.task_id)?;
                self.update_node_utilization(node_id, task)?;
                return Ok(Some(node_id));
            }
        }

        Ok(None) // No suitable node found
    }

    /// Check if node can accommodate task
    fn can_accommodate_task(&self, node: &NodeResources<F>, task: &DistributedTask<F>) -> bool {
        node.cpu_cores >= task.resource_requirements.cpu_cores
            && node.available_memory >= task.resource_requirements.memory_gb
            && (!task.resource_requirements.gpu_required || node.gpu_count > 0)
    }

    /// Allocate task to specific node
    fn allocate_task_to_node(&mut self, node_id: usize, task_id: usize) -> Result<()> {
        let task_list = self.resource_allocation.entry(node_id).or_default();
        task_list.push(task_id);
        Ok(())
    }

    /// Update node utilization after task allocation
    fn update_node_utilization(&mut self, node_id: usize, task: &DistributedTask<F>) -> Result<()> {
        if let Some(node) = self.available_resources.get_mut(&node_id) {
            node.available_memory = node.available_memory - task.resource_requirements.memory_gb;

            // Calculate new utilization
            let memory_utilization =
                (node.total_memory - node.available_memory) / node.total_memory;
            node.utilization = memory_utilization;
        }
        Ok(())
    }

    /// Get resource utilization statistics
    pub fn get_utilization_stats(&self) -> HashMap<usize, F> {
        self.available_resources
            .iter()
            .map(|(&node_id, node)| (node_id, node.utilization))
            .collect()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for LoadBalancer<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> LoadBalancer<F> {
    /// Create new load balancer
    pub fn new() -> Self {
        LoadBalancer {
            balancing_algorithm: LoadBalancingAlgorithm::RoundRobin,
            load_metrics: Vec::new(),
            rebalancing_threshold: F::from_f64(0.8).expect("Operation failed"),
        }
    }

    /// Balance load across nodes
    pub fn balance_load(&mut self, node_loads: &HashMap<usize, F>) -> Result<Vec<(usize, usize)>> {
        let mut rebalancing_actions = Vec::new();

        // Find overloaded and underloaded nodes
        let avg_load = node_loads.values().fold(F::zero(), |acc, &load| acc + load)
            / F::from_usize(node_loads.len()).expect("Operation failed");

        let mut overloaded_nodes = Vec::new();
        let mut underloaded_nodes = Vec::new();

        for (&node_id, &load) in node_loads {
            if load > self.rebalancing_threshold {
                overloaded_nodes.push(node_id);
            } else if load < avg_load * F::from_f64(0.5).expect("Operation failed") {
                underloaded_nodes.push(node_id);
            }
        }

        // Create rebalancing actions
        for &overloaded_node in &overloaded_nodes {
            if let Some(&underloaded_node) = underloaded_nodes.first() {
                rebalancing_actions.push((overloaded_node, underloaded_node));
            }
        }

        Ok(rebalancing_actions)
    }

    /// Update load metrics
    pub fn update_metrics(&mut self, node_id: usize, metrics: LoadMetric<F>) {
        // Remove old metrics for this node
        self.load_metrics.retain(|m| m.node_id != node_id);
        // Add new metrics
        self.load_metrics.push(metrics);
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for DistributedIntelligenceCoordinator<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> DistributedIntelligenceCoordinator<F> {
    /// Create new distributed intelligence coordinator
    pub fn new() -> Self {
        DistributedIntelligenceCoordinator {
            task_scheduler: DistributedTaskScheduler::new(SchedulingStrategy::LoadBalancing),
            resource_manager: DistributedResourceManager::new(),
            communication_layer: CommunicationLayer::new(),
            fault_tolerance: FaultToleranceSystem::new(),
        }
    }

    /// Coordinate distributed processing of data
    pub fn coordinate_processing(&mut self, data: &Array1<F>) -> Result<Array1<F>> {
        // Create tasks from data
        let tasks = self.create_tasks_from_data(data)?;

        // Schedule tasks
        for task in tasks {
            self.task_scheduler.add_task(task);
        }

        let schedule = self.task_scheduler.schedule_tasks()?;

        // Allocate resources
        for (node_id, task_ids) in schedule {
            for task_id in task_ids {
                // Simulate task execution
                let result = self.simulate_task_execution(task_id, node_id)?;
                // Handle result...
            }
        }

        // Return processed data (simplified)
        Ok(data.clone())
    }

    /// Create tasks from input data
    fn create_tasks_from_data(&self, data: &Array1<F>) -> Result<Vec<DistributedTask<F>>> {
        let mut tasks = Vec::new();

        // Create tasks based on data chunks
        let chunk_size = (data.len() / 4).max(1); // Distribute across 4 nodes

        for (i, chunk) in data
            .axis_chunks_iter(scirs2_core::ndarray::Axis(0), chunk_size)
            .enumerate()
        {
            let task = DistributedTask::new(
                i,
                TaskType::DataProcessing,
                F::from_f64(1.0).expect("Operation failed"),
            );
            tasks.push(task);
        }

        Ok(tasks)
    }

    /// Simulate task execution
    fn simulate_task_execution(&mut self, task_id: usize, nodeid: usize) -> Result<Array1<F>> {
        // Simulate processing delay
        let execution_time = F::from_f64(0.1).expect("Operation failed"); // 100ms

        // Create dummy result
        let result = Array1::from_elem(
            10,
            F::from_f64(scirs2_core::random::random::<f64>()).expect("Operation failed"),
        );

        Ok(result)
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for CommunicationLayer<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> CommunicationLayer<F> {
    /// Create new communication layer
    pub fn new() -> Self {
        CommunicationLayer {
            communication_protocol: CommunicationProtocol::TCP,
            message_queue: Vec::new(),
            network_topology: NetworkTopology::Mesh,
            bandwidth_allocation: HashMap::new(),
        }
    }

    /// Send message between nodes
    pub fn send_message(&mut self, message: DistributedMessage<F>) -> Result<()> {
        // Add message to queue
        self.message_queue.push(message);

        // In a real implementation, this would send the message over the network
        Ok(())
    }

    /// Receive messages from queue
    pub fn receive_messages(&mut self) -> Vec<DistributedMessage<F>> {
        let messages = self.message_queue.clone();
        self.message_queue.clear();
        messages
    }

    /// Allocate bandwidth to nodes
    pub fn allocate_bandwidth(&mut self, node_id: usize, bandwidth: F) {
        self.bandwidth_allocation.insert(node_id, bandwidth);
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for FaultToleranceSystem<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> FaultToleranceSystem<F> {
    /// Create new fault tolerance system
    pub fn new() -> Self {
        FaultToleranceSystem {
            replication_factor: 3,
            checkpoint_interval: F::from_f64(60.0).expect("Operation failed"), // 60 seconds
            failure_detection: FailureDetection::new(),
            recovery_mechanisms: vec![
                RecoveryMechanism::new(RecoveryType::Restart),
                RecoveryMechanism::new(RecoveryType::Failover),
            ],
        }
    }

    /// Handle node failures
    pub fn handle_failure(&mut self, failed_nodeid: usize) -> Result<RecoveryType> {
        // Select appropriate recovery mechanism
        for mechanism in &self.recovery_mechanisms {
            if mechanism.success_rate > F::from_f64(0.8).expect("Operation failed") {
                return Ok(mechanism.mechanism_type.clone());
            }
        }

        Ok(RecoveryType::Restart) // Default recovery
    }

    /// Create checkpoint for fault recovery
    pub fn create_checkpoint(&self, data: &Array1<F>) -> Result<Array1<F>> {
        // In a real implementation, this would save state to persistent storage
        Ok(data.clone())
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> Default for FailureDetection<F> {
    fn default() -> Self {
        Self::new()
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> FailureDetection<F> {
    /// Create new failure detection system
    pub fn new() -> Self {
        FailureDetection {
            detection_algorithms: vec![DetectionAlgorithm {
                algorithm_name: "heartbeat_monitor".to_string(),
                detection_accuracy: F::from_f64(0.95).expect("Operation failed"),
                false_positive_rate: F::from_f64(0.05).expect("Operation failed"),
                detection_latency: F::from_f64(5.0).expect("Operation failed"),
            }],
            heartbeat_interval: F::from_f64(1.0).expect("Operation failed"), // 1 second
            timeout_threshold: F::from_f64(5.0).expect("Operation failed"),  // 5 seconds
            failure_probability: F::from_f64(0.01).expect("Operation failed"),
        }
    }

    /// Detect failures in distributed system
    pub fn detect_failures(&mut self, node_statuses: &HashMap<usize, bool>) -> Result<Vec<usize>> {
        let mut failed_nodes = Vec::new();

        for (&node_id, &is_responsive) in node_statuses {
            if !is_responsive {
                failed_nodes.push(node_id);
            }
        }

        Ok(failed_nodes)
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> RecoveryMechanism<F> {
    /// Create new recovery mechanism
    pub fn new(mechanism_type: RecoveryType) -> Self {
        let (recovery_time, success_rate, resource_overhead) = match mechanism_type {
            RecoveryType::Restart => (
                F::from_f64(10.0).expect("Operation failed"),
                F::from_f64(0.9).expect("Operation failed"),
                F::from_f64(0.1).expect("Operation failed"),
            ),
            RecoveryType::Failover => (
                F::from_f64(5.0).expect("Operation failed"),
                F::from_f64(0.95).expect("Operation failed"),
                F::from_f64(0.2).expect("Operation failed"),
            ),
            RecoveryType::Redistribution => (
                F::from_f64(15.0).expect("Operation failed"),
                F::from_f64(0.85).expect("Operation failed"),
                F::from_f64(0.15).expect("Operation failed"),
            ),
            RecoveryType::CheckpointRecovery => (
                F::from_f64(20.0).expect("Operation failed"),
                F::from_f64(0.8).expect("Operation failed"),
                F::from_f64(0.05).expect("Operation failed"),
            ),
            RecoveryType::ReplicationRecovery => (
                F::from_f64(8.0).expect("Operation failed"),
                F::from_f64(0.92).expect("Operation failed"),
                F::from_f64(0.3).expect("Operation failed"),
            ),
        };

        RecoveryMechanism {
            mechanism_type,
            recovery_time,
            success_rate,
            resource_overhead,
        }
    }

    /// Apply recovery mechanism
    pub fn apply_recovery(&self, failedtasks: &[usize]) -> Result<bool> {
        // Simulate recovery process
        let recovery_success = self.success_rate
            > F::from_f64(scirs2_core::random::random::<f64>()).expect("Operation failed");

        if recovery_success {
            // Recovery successful
            Ok(true)
        } else {
            // Recovery failed
            Ok(false)
        }
    }
}

impl<F: Float + Debug + Clone + FromPrimitive> DistributedMessage<F> {
    /// Create new distributed message
    pub fn new(
        message_id: usize,
        sender_id: usize,
        receiver_id: usize,
        message_type: MessageType,
        payload: Vec<F>,
    ) -> Self {
        DistributedMessage {
            message_id,
            sender_id,
            receiver_id,
            message_type,
            payload,
            timestamp: F::from_f64(0.0).expect("Operation failed"), // Would use actual timestamp
            priority: MessagePriority::Normal,
        }
    }

    /// Set message priority
    pub fn with_priority(mut self, priority: MessagePriority) -> Self {
        self.priority = priority;
        self
    }

    /// Get message size
    pub fn size(&self) -> usize {
        self.payload.len()
    }
}