IoT Agent Cloud Offloading Reduces Device Complexity
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Solution Overview
Problem
Existing IoT device management systems face challenges in balancing cost and computing infrastructure, with a need for efficient handling of complex computational loads and optimal device control, especially in constrained environments where physical space and complexity are limited.
Innovation Solution
A device management system that employs intelligent agents to remotely handle complex tasks, optimize client device operations, and utilize an observer with machine learning to collect and evaluate data for dynamic control schemes, reducing the physical footprint and computational burden on client devices while ensuring continuous functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complex computational tasks are handled locally on client devices, then processing capability is improved, but device complexity and physical footprint increase
Solution Approach 1:
The patent extracts complex computational tasks from client devices and relocates them to a centralized cloud-based processing system. The client device retains only essential local functions, while sophisticated processing, machine learning operations, and data analysis are performed remotely on cloud infrastructure, thereby reducing device complexity while maintaining high productivity.
Solution Approach 2:
The patent introduces a cloud-based intermediary processing layer that mediates between simple client devices and complex computational requirements. This intermediary handles sophisticated processing tasks, allowing client devices to remain simple while still accessing advanced computational capabilities through network connectivity.
2Productivity
If more computing infrastructure is deployed on client devices, then processing performance is improved, but cost increases
Solution Approach 1:
The patent merges multiple client device processing requirements into a single centralized cloud infrastructure. Instead of each client device having its own sophisticated processing hardware, the system combines computational resources into shared cloud servers, achieving economies of scale that reduce per-device costs while maintaining high processing performance.
Solution Approach 2:
The patent creates a universal cloud-based processing platform that serves multiple client devices with diverse computational needs. This multi-functional system handles various processing tasks (machine learning, data analysis, complex computations) across different devices, eliminating the need for each device to have specialized expensive hardware.
3Adaptability or versatility
If device functionality is enhanced with more features, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic adaptability through cloud-based machine learning models that can be updated and modified remotely without changing the physical device. The system adapts to changing conditions by dynamically adjusting processing parameters, algorithms, and data handling strategies on the cloud side, keeping the physical device simple while maintaining high versatility.
Data Source
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AI summary
According to one aspect, embodiments provide a system for optimizing control schemes executed by a plurality of intelligent agents controlling a plurality of client devices, the system comprising an observer configured to communicate with the plurality of intelligent agents, a database configured to store information received from the plurality of intelligent agents, and an external data source, the observer being further configured to poll the plurality of intelligent agents for operational information of at least one power device, collect information from the external data source and from the database, update the database based on the operational information and the information collected from the external data source and the database, and modify a first control scheme executed by a first intelligent agent of the plurality of intelligent agents to control a first client device.