Distributed Fog Node Hardware Management via Segmented Control
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Solution Overview
Problem
Fog node hardware platform management faces challenges in monitoring and controlling hardware states, diagnosing faults, and performing routine exercises, which can compromise performance, security, and reliability if not managed correctly.
Innovation Solution
A network node device with a CPU complex, storage medium, and input/output subsystem that receives and processes hardware platform management decisions from multiple nodes, implementing actions through actuators while utilizing an orchestration service to select nodes for decision-making, enhancing fault tolerance and security by distributing management across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If hardware platform management is centralized in a single node, then management control is simplified, but single point of failure risk increases and system reliability decreases
Solution Approach 1:
The patent divides hardware platform management into multiple independent management nodes distributed across the Fog network. Each node can independently manage specific hardware platforms, eliminating the single point of failure. The management function is segmented into multiple components that can operate autonomously, so if one management node fails, others continue to provide management services.
Solution Approach 2:
The system dynamically changes the operational parameters of management nodes, including activation status, management scope, and resource allocation. This allows the system to adapt to failures by reconfiguring which nodes are active and what they manage, maintaining reliability without requiring complex centralized coordination.
2Reliability
If hardware platform management is distributed across multiple nodes, then system reliability and fault tolerance improve, but management coordination complexity increases
Solution Approach 1:
Each Fog node is designed with universal management capabilities that allow it to perform hardware platform management functions independently. The nodes use standardized protocols and interfaces, enabling any node to potentially manage any hardware platform. This multi-functionality reduces the need for specialized coordination mechanisms while maintaining distributed reliability.
Solution Approach 2:
The distributed management nodes operate autonomously, making independent decisions about hardware platform management without requiring constant coordination with other nodes. Each node self-manages its assigned platforms using local intelligence and predefined policies, significantly reducing coordination overhead while maintaining system reliability.
3Speed
If management decisions are made locally at each Fog node, then response speed is faster, but overall system optimization and security are reduced
Solution Approach 1:
The patent implements local quality by allowing each Fog node to make management decisions autonomously based on local conditions and requirements. Each node has the authority to respond immediately to hardware events without waiting for centralized approval, ensuring fast local response while maintaining security through distributed validation mechanisms.
Solution Approach 2:
The system implements feedback loops where management decisions made locally at Fog nodes are reported back to the network for validation and learning. This feedback mechanism ensures that local decisions align with overall system security policies and allows the network to optimize global performance based on local experiences without sacrificing response speed.
4Stability of the object's composition
If configuration updates are propagated through the entire network, then consistency is maintained, but update time and network overhead increase
Solution Approach 1:
Configuration updates are prepared and validated in advance at the network level before being propagated to individual Fog nodes. This preliminary action ensures that updates are consistent and correct before deployment, reducing the need for retransmissions and corrections that would increase update time and network overhead.
Solution Approach 2:
The configuration update process is segmented into independent modules that can be propagated and applied separately to different Fog nodes. This allows parallel update propagation across the network, maintaining consistency while significantly reducing total update time compared to sequential propagation.
Data Source
AI summary
In one embodiment, a network node device includes a hardware platform including a central processing unit (CPU) complex, a storage medium and an input/output subsystem to provide network processing and transport of data in a network. The CPU complex is operative to receive a plurality of hardware platform management decisions from a plurality of different network nodes in the network, process the received hardware platform management decisions to yield a hardware platform management proposed action, and issue a command to implement the hardware platform management proposed action in the hardware platform. The hardware platform is operative to implement the hardware platform management proposed action. Related apparatus and methods are also described.