IoT Device Sharing via Data Profile Mapping
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Solution Overview
Problem
Conventional IoT device sharing and reuse through cloud services are limited by difficulties in mapping enterprise application requirements to available IoT devices, requiring dedicated devices, and leading to functionality waste or duplication.
Innovation Solution
The solution involves generating data profiles for IoT devices based on analytics and machine learning, grouping them, and mapping these profiles to virtual servers to prioritize historically reliable devices, allowing for temporary housing and efficient workload adjustments to match device capabilities with user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional cloud service methods are used for IoT device sharing, then basic device connectivity is achieved, but device requirements mapping and efficient reuse are limited
Solution Approach 1:
The patent transforms physical IoT devices into virtual device representations with standardized parameters and data profiles. This parameterization enables flexible mapping between enterprise application requirements and available devices without physical reconfiguration, resolving the contradiction between sharing versatility and mapping complexity
Solution Approach 2:
The patent introduces a cloud service platform with data profile groupings as an intermediary layer between IoT devices and enterprise applications. This mediator automatically matches device capabilities with application requirements, eliminating the need for complex direct mapping while enabling versatile device sharing
2Reliability
If dedicated IoT devices are assigned to enterprise applications, then application-specific reliability is improved, but device waste and duplication increase
Solution Approach 1:
The patent enables single IoT devices to serve multiple enterprise applications simultaneously through virtual device instances. A physical device can be shared across different applications with appropriate access controls and data profile groupings, eliminating the need for dedicated devices while maintaining application-specific reliability and reducing device duplication
Solution Approach 2:
The patent performs preliminary data profile analysis and device capability assessment before assigning devices to applications. By pre-characterizing devices with standardized data profiles and grouping them by functionality, the system ensures reliable matching while optimizing device utilization and preventing waste
3Productivity
If IoT devices are shared across multiple applications, then device utilization efficiency improves, but device mismatch and performance issues may occur
Solution Approach 1:
The patent uses standardized data profiles with defined parameters to characterize device capabilities and application requirements. By transforming diverse device attributes into comparable parameters, the system enables efficient matching and sharing while maintaining compatibility through parameter-based verification
Solution Approach 2:
The patent implements feedback mechanisms that monitor device performance and compatibility when shared across applications. The cloud service platform continuously assesses whether shared devices meet application requirements and can reassign or adjust allocations based on performance feedback, ensuring reliability while maintaining high utilization
Data Source
AI summary
Methods, computer program products, and systems are presented. Data characteristics describing data from IoT devices are identified. Data profiles representing the IoT devices are generated. The data profiles are grouped into data profile groupings based on one or more of analytics and machine learning. A mapping of the data profile groupings to virtual servers is determined.