IoT Cluster Management via Automated Identity Verification
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Solution Overview
Problem
Current cluster management in IoT device networks is inefficient and lacks intelligence, requiring manual adjustments at cloud servers for changes such as device upgrades or additions, leading to low management efficiency.
Innovation Solution
A cluster management method and apparatus that automates the process of adding a target device to a device cluster network by acquiring and verifying identity information, storing node information, and updating registration information, thereby improving efficiency and intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment of node information is performed at cloud server, then device changes can be managed, but management efficiency is low and intelligence is lacking
Solution Approach 1:
The system enables self-service automation where the cloud server automatically performs identity verification, node information acquisition, and registration information updates when devices join or leave the cluster, eliminating the need for manual user intervention and significantly improving management efficiency
Solution Approach 2:
The system establishes feedback mechanisms where devices automatically report their status and identity information to the cloud server, which then processes this information to automatically update registration information, creating a closed-loop automated management system that responds dynamically to device changes
2Reliability
If identity verification is performed using attribute information and digital certificate, then device security is improved, but verification complexity increases
Solution Approach 1:
The identity verification process is segmented into two independent modules: attribute information verification and digital certificate verification. This segmentation allows each verification type to be processed separately and systematically, improving security while making the complex verification process more manageable and organized
Solution Approach 2:
Devices perform preliminary actions by pre-configuring their attribute information and digital certificates before joining the cluster. The cloud server has also prepared the verification framework in advance, so when a device joins, the verification process can proceed systematically without ad-hoc complexity
Data Source
AI summary
Provided are a cluster management method and apparatus, an electronic device and a storage medium. The method includes that: in a case where a registration request sent by a target device is received, identity information of the target device is acquired from the registration request; identity check is performed on the target device based on the identity information to obtain a check result; in a case where the check result is a check success, node information of the target device is acquired from the registration request; and the node information is stored to registration information of a device cluster network, to add the target device to the device cluster network.