Multi-layered Edge Mechanism for Dynamic Latency Reduction
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Solution Overview
Problem
Existing network architectures face high latency and inefficiencies in monitoring and resolving issues due to centralized systems, which are ineffective in complex networks with many applications and devices, lacking intelligent correlation and cross-pollination of resolutions between disparate parts.
Innovation Solution
A multi-layered mechanism for dynamic latency reduction through edge computation, involving micro edge adaptors, edge nodes, and central servers for proactive decentralized monitoring, resolution of network issues, and dynamic resource reallocation for load balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized system based monitoring is used, then implementation of resolutions can be performed, but latency of resolution is undesirably high and system becomes ineffective in complex networks
Solution Approach 1:
The patent divides the centralized monitoring system into a distributed hierarchical architecture with multiple layers: edge adaptors at component level, edge nodes at network device group level, and central server at entity level. This segmentation enables local autonomous decision-making at edge levels while maintaining centralized coordination, thereby reducing resolution latency without sacrificing comprehensive monitoring effectiveness.
Solution Approach 2:
The patent introduces a new spatial dimension to the monitoring architecture by deploying edge computing resources distributed across the network infrastructure. This transforms the traditional single-point centralized monitoring into a multi-dimensional hierarchical structure that operates at multiple levels simultaneously, enabling both local rapid response and global coordinated management.
2Reliability
If centralized system based monitoring is used, then resolutions can be implemented, but large implementation times are required to alleviate issues
Solution Approach 1:
The patent implements preliminary action through pre-trained machine learning models at edge nodes that can immediately detect and respond to known issue patterns without waiting for centralized analysis. The system proactively maintains local intelligence and resolution capabilities, enabling instantaneous response to common issues while reserving complex problem-solving for centralized coordination when needed.
Solution Approach 2:
The patent introduces edge nodes as intermediary components between centralized monitoring and local network devices. These intermediaries perform local analysis and resolution actions, reducing the time required for centralized systems to process and respond to issues while maintaining the ability to implement comprehensive resolutions when needed.
3Quantity of substance
If centralized system based monitoring is used, then monitoring can be performed, but intelligent correlation between disparate parts of network architecture is lacking
Solution Approach 1:
The patent merges local correlation capabilities at edge nodes with global correlation capabilities at the central server. Edge nodes perform local pattern recognition and correlation within their respective network device groups, while the central server aggregates insights across the entire network. This combining of local and global intelligence enables comprehensive correlation that spans disparate parts of the network architecture.
Solution Approach 2:
The patent implements feedback mechanisms where edge nodes send processed information and detected patterns to the central server, which then provides refined correlation insights back to edge nodes. This iterative feedback loop enhances the correlation capability across the distributed system, allowing intelligent correlation between disparate network parts through continuous information exchange and learning.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for dynamic latency reduction through edge computation based on a multi-layered mechanism. In this regard, the invention is structured for proactive de-centralized monitoring and resolution of network issue events and cross-pollination of resolutions of network issue events between network components and dynamic reallocation of technology resources therebetween for load balancing. In some embodiments, the invention comprises an entity communication network comprising a plurality of network device groups, one or more edge nodes, and a central server system. The invention determines, via an edge node, a first resolution vector for a first network issue event. The invention is configured to implement, via a micro edge adaptor of a first component system, the first resolution vector at a component system.