Data-Category Switch Module for IoT Control Plane Segmentation
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Solution Overview
Problem
Current information handling systems face challenges in efficiently processing, storing, and communicating data from Internet of Things (IoT) devices, particularly in segregating, manipulating, and transmitting data categories effectively across different zones and applications.
Innovation Solution
A data-category switch module is introduced, comprising sub-modules for data segmentation, stitching, anonymization, and transmission, which routes data based on data-centric conditions, using APIs to create and manage datasets and network interfaces, and applies techniques like time-compaction and anonymization to optimize data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data from IoT devices is processed and transmitted without segmentation, then the system structure remains simple, but data management efficiency decreases and security risks increase
Solution Approach 1:
The patent segments IoT data into different categories (e.g., sensor data, control data, metadata) and processes each category through dedicated data pipelines. This segmentation enables efficient data management by allowing parallel processing and targeted security measures for different data types, resolving the contradiction between management efficiency and system complexity.
2Device complexity
If all IoT data is transmitted to the cloud for processing, then local processing resources can be minimized, but transmission volume and latency increase
Solution Approach 1:
The patent implements preliminary data processing and filtering at the edge devices before transmission. Data is pre-processed, validated, and filtered locally to extract only relevant information for cloud transmission. This preliminary action reduces transmission volume and latency while maintaining centralized cloud processing capabilities for complex analytics.
3Loss of information
If data is transmitted in real-time from IoT devices, then data freshness is maximized, but network bandwidth consumption and security exposure increase
Solution Approach 1:
The patent introduces an intermediary edge computing layer between IoT devices and the cloud network. This intermediary performs data validation, filtering, and aggregation before transmission, reducing the attack surface and network bandwidth consumption. The intermediary acts as a security buffer that maintains data freshness while mitigating security risks and bandwidth usage.
4Loss of information
If detailed IoT data is collected and stored, then data analytics capability is enhanced, but storage requirements and privacy concerns increase
Solution Approach 1:
The patent extracts and retains only the essential and relevant data elements for analytics while discarding redundant or sensitive information. By taking out only the necessary data components (e.g., extracting key metrics from raw sensor data), the system maintains strong analytics capability while minimizing storage requirements and privacy concerns.
Data Source
AI summary
An information handling system containing a data-category switch module operating in the control plane for the exchange of data between internet of things applications, including a computer memory, a processor operatively coupled to the computer memory executing code of a data-switch module operatively coupled to the computer memory and the processor, a data zone, operatively coupled to the processor, defined by one or more data types from sensors associated with the data zone by data content categories, one or more network interfaces assigned to the data zone by data-category switch module policy provisions for receiving and transmitting data associated with the data zone, and one or more zone-labeled datasets stored in the computer memory operatively coupled to the data-category switch module and assigned to the data zone, each of the zone-labeled datasets receiving data from the data zone and configured to execute a data-zone specific application.