Cloud IoT Device Allocation for Efficient Docking Debugging
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Solution Overview
Problem
Existing cloud platform docking and debugging solutions are inconvenient and inefficient, leading to dispersed partner developer efforts and low problem-solving efficiency.
Innovation Solution
A cloud platform docking debugging method that allocates a target Internet of Things device to a to-be-debugged application, providing a unified public resource environment for docking and debugging, and includes a device determination module and a control allocation module to manage resource allocation and data delivery for efficient debugging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a partner acquires a docking device from special channels and builds a public network environment, then docking and debugging can be performed, but debugging convenience deteriorates and problem-solving efficiency decreases
Solution Approach 1:
The patent introduces a cloud platform as an intermediary between partners and docking devices. The cloud platform provides unified resource management, device allocation, and debugging environment provisioning, eliminating the need for partners to independently build complex network environments. This mediator approach resolves the contradiction by maintaining docking capability while significantly improving debugging convenience through centralized management.
Solution Approach 2:
The cloud platform serves multiple functions: resource management, device allocation, environment provisioning, and debugging coordination. By making the platform universal and multi-functional, partners can access various docking devices and debugging resources through a single unified interface, improving ease of operation while maintaining comprehensive docking capabilities.
2Reliability
If a partner acquires a docking device from special channels and builds a public network environment, then docking and debugging can be performed, but problem-solving efficiency deteriorates
Solution Approach 1:
The cloud platform performs preliminary actions by pre-configuring debugging environments, pre-allocating devices, and pre-establishing network connections. When partners need to debug, the environment is already prepared and ready for immediate use. This eliminates the time-consuming setup process and significantly improves problem-solving efficiency while maintaining full docking capability.
Solution Approach 2:
The cloud platform implements feedback mechanisms for resource allocation and debugging status monitoring. The system automatically tracks device usage, manages resource distribution, and provides real-time status information to partners. This feedback loop optimizes resource utilization and accelerates problem-solving by quickly identifying and resolving issues.
3Adaptability or versatility
If multiple partners independently build debugging environments, then each can perform docking and debugging, but resource conflicts increase and debugging efficiency decreases
Solution Approach 1:
The patent merges multiple independent debugging environments into a single cloud-based shared environment. Multiple partners can simultaneously access and utilize docking devices and debugging resources through the cloud platform without physical or logical conflicts. This combining approach maintains each partner's independent debugging capability while eliminating resource conflicts and improving overall efficiency through coordinated resource management.
Data Source
AI summary
Provided are a cloud platform docking debugging method and apparatus, an electronic device, and a storage medium. The cloud platform docking debugging method includes steps below. According to debugging application information of a to-be-debugged application, a target Internet of Things device is determined from multiple candidate Internet of Things devices provided externally by the cloud platform, and the target Internet of Things device is allocated to the to-be-debugged application. Docking and debugging between the target Internet of Things device allocated to the to-be-debugged application and the to-be-debugged application on a development end side are controlled. The candidate Internet of Things device includes an Internet of Things device that is pre-built and accessed through the cloud platform and provides externally, as a public resource, a debugging service.