Module advanced_distributed_computing 

Advanced Distributed Computing Framework

This module provides a comprehensive distributed computing framework for multi-node computation in Advanced mode, enabling seamless scaling of scientific computing workloads across clusters, clouds, and edge devices.

Features

• Automatic Node Discovery: Dynamic discovery and registration of compute nodes
• Intelligent Load Balancing: AI-driven workload distribution across nodes
• Fault Tolerance: Automatic recovery and redistribution on node failures
• Adaptive Scheduling: Real-time optimization of task scheduling
• Cross-Node Communication: High-performance messaging and data transfer
• Resource Management: Dynamic allocation and optimization of node resources
• Security: End-to-end encryption and authentication for distributed operations
• Monitoring: Real-time cluster health and performance monitoring
• Elastic Scaling: Automatic scaling based on workload demands

Re-exports

pub use cluster::*;

pub use communication::*;

pub use fault_tolerance::*;

pub use monitoring::*;

pub use scheduling::*;

pub use types::*;

Modules

cluster

Cluster management and node coordination

communication

Distributed communication and messaging

fault_tolerance

Fault tolerance and recovery mechanisms

monitoring

Monitoring and statistics collection

scheduling

Task scheduling and execution management

types

Core types and configurations for distributed computing

Structs

AdvancedDistributedComputer

Central coordinator for distributed advanced computing

DistributedResourceManager

Distributed resource manager (placeholder for now)

IntelligentLoadBalancer

Intelligent load balancer (placeholder for now)