LAN Incident Detection Using Edge Data Aggregation
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Solution Overview
Problem
Supervising a large number of local area networks remotely is challenging due to the need for extensive computing resources and infrastructure, making it difficult to diagnose and resolve incidents efficiently.
Innovation Solution
A method and system for detecting incidents in local area networks using an incident detection device connected via a wide area network, which aggregates and processes descriptive data from connections between stations and nodes, calculates severity scores, and generates advisory messages or corrective actions without requiring a large cloud infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data collection and processing is performed by servers located in a computing cloud to monitor local area networks, then the ability to diagnose and resolve incidents remotely is improved, but the number of servers and computing resources required increases proportionally with the number of local area networks
Solution Approach 1:
The patent segments the data processing function by introducing a data conditioning and processing device at the network edge (in the local area network) that performs data aggregation and preprocessing locally. This divides the overall processing task between the edge device and the remote incident detection device, reducing the burden on centralized cloud servers while maintaining remote diagnostic capabilities.
Solution Approach 2:
The data conditioning and processing device acts as an intermediary between the local area network and the remote incident detection device. It collects raw data from network connections, processes and aggregates it locally, and then transmits only the processed results to the remote device, thereby reducing the computing load on centralized infrastructure.
2Adaptability or versatility
If the number of local area networks to be supervised increases, then the coverage and service scope is improved, but the number of servers necessary for supervision increases making implementation difficult
Solution Approach 1:
By segmenting the processing architecture and placing data conditioning functions at the network edge, the system can scale to supervise more local area networks without proportionally increasing centralized server resources. Each edge device independently processes data from its local network, enabling horizontal scaling.
Solution Approach 2:
The patent implements local data processing capabilities within each supervised network through the data conditioning and processing device. This local quality enhancement allows each network to be processed independently with consistent performance, enabling the system to scale to many networks without requiring proportional increases in centralized infrastructure.
Data Source
AI summary
A method and an incident detection device in a local area network, an incident detection device being connected to the local area network by a wide area network, the local area network including a data conditioning and processing device, that: obtains, from the incident detection device, a processing repository for descriptive data from the connections between the stations and the nodes and descriptive data from the connections between the local area network nodes; aggregates the descriptive data from the connections between the stations and the nodes and the descriptive data from the connections between the nodes if the data processing repository includes information indicating that the data must be aggregated; calculates severity scores from the total severity scores according to the repository; and transfers aggregated data or severity scores to the incident detection device.