Hybrid IoT Alert Evaluation Across Edge and Fog Nodes
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Solution Overview
Problem
Current IoT architectures face high and unpredictable latency, as well as increased network bandwidth demand, when evaluating data and triggering alerts at a cloud server layer, which limits the effectiveness and scalability of IoT systems.
Innovation Solution
A hybrid IoT evaluation framework that distributes data evaluation, alert analysis, and action execution across local fog devices and edge devices, reducing the need for extensive cloud-based processing and minimizing network bandwidth usage by performing these functions closer to the data source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If data evaluation and alert analysis are performed at the cloud server layer, then centralized processing capability is improved, but network latency increases and network bandwidth demand increases
Solution Approach 1:
The patent segments the centralized cloud-based evaluation function into distributed evaluation services deployed at edge devices and fog devices. This segmentation allows data processing to occur closer to the data source, reducing network latency while maintaining centralized management capabilities through the cloud.
Solution Approach 2:
The patent introduces fog devices as intermediary components between edge devices and cloud servers. These fog devices perform local data evaluation and filtering, acting as mediators that reduce the amount of data transmitted over the network while maintaining centralized processing capabilities.
2Measurement precision
If all data is transmitted to the cloud server for evaluation, then comprehensive data analysis is improved, but network bandwidth demand increases
Solution Approach 1:
The patent extracts the data evaluation function from the cloud server and deploys it at distributed edge and fog devices. This extraction allows local data processing to occur, reducing network bandwidth demand while maintaining comprehensive analysis capabilities through the distributed evaluation services.
Solution Approach 2:
The patent implements preliminary data evaluation and filtering at edge and fog devices before data is transmitted to the cloud. This preliminary action reduces the volume of data requiring network transmission while ensuring comprehensive analysis is performed through the distributed evaluation services.
Data Source
AI summary
Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through a plurality of edge devices. The multi-edge alert definition is registered in a fog evaluation service for evaluation. Data corresponding to the IoT devices is received by the fog evaluation service from the plurality of edge devices. An alert is triggered based on a condition specified in the multi-edge alert definition.