Smart Home Scene Segmentation for Multi-Node Load Balancing
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Solution Overview
Problem
The deployment of a large quantity of scenes on a host in a smart home network leads to performance bottlenecks, slower responses, and potential system crashes due to increased load.
Innovation Solution
A smart home scene deployment method that distributes scenes across multiple nodes in the network based on architecture and historical load information, segmenting events, conditions, and actions to balance load and improve execution performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If scenes are deployed on a single host, then scene management is simple and centralized, but the host load increases leading to performance bottlenecks and system crashes
Solution Approach 1:
The patent segments the scene deployment architecture by dividing scenes into multiple scene segments and distributing them across different nodes (host, extension host, gateway) in the smart home network. This segmentation reduces the load on any single node, preventing performance bottlenecks and system crashes while maintaining manageable complexity through structured distribution.
2Productivity
If scenes are distributed across multiple nodes, then host load is reduced and performance improves, but scene deployment complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where nodes automatically evaluate their own load conditions and make decisions about scene segment deployment. The host evaluates load information from different nodes and automatically deploys scene segments to appropriate nodes without manual intervention, reducing deployment complexity while improving execution efficiency through optimized load distribution.
Solution Approach 2:
The system incorporates feedback mechanisms where load information from various nodes is continuously evaluated, and deployment decisions are adjusted based on this feedback. This allows the system to dynamically optimize scene segment placement across nodes, improving execution efficiency while managing complexity through adaptive decision-making.
3Ease of operation
If all scene segments are deployed on the host, then scene execution is centralized and simple to manage, but response time increases due to host processing overhead
Solution Approach 1:
By segmenting scenes and distributing execution across multiple nodes including extension hosts and gateways, the system reduces centralized processing overhead on the host. This segmentation enables parallel execution of scene segments across different nodes, improving response speed while maintaining manageable operational complexity through structured distribution.
4Productivity
If scene segments are distributed across multiple nodes, then load is balanced and execution performance improves, but coordination overhead between nodes increases
Solution Approach 1:
The system performs preliminary actions by pre-evaluating load conditions of different nodes before deploying scene segments. This advance planning allows for optimized placement of scene segments on nodes with appropriate load capacity, reducing coordination overhead during actual scene execution and improving overall execution efficiency without significant time loss.
Data Source
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AI summary
This application provides a smart home scene deployment method and system, an electronic device, and a storage medium. The method includes: obtaining a target scene and architecture information of a smart home network; and deploying the target scene on a target node based on the architecture information of the smart home network. The target node includes a first node and/or a second node, the first node is a host in the smart home network, and the second node includes an extension host and/or a gateway in the smart home network. The method provided in this application helps improve scene execution performance.