Automatic Resource Configuration for Batch IoT Deployment
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Solution Overview
Problem
In the IoT, performing operations on multiple target resources requires individual data interactions between the application and service layers, leading to increased bandwidth and computing resource consumption.
Innovation Solution
Implementing an automatic deployment resource at the service layer that allows the application layer to initiate a single operation request, using a configuration rule to automatically configure multiple target resources, including creation, update, and deletion of attributes and sub-resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual data interactions are performed between application layer and service layer for each target resource, then resource configuration operations can be completed, but bandwidth resources and computing resources are consumed excessively
Solution Approach 1:
The patent merges multiple individual resource configuration operations into a single batch operation. The service layer combines multiple target resource configurations into one unified processing task, allowing the application layer to send a single request instead of multiple separate requests. This reduces bandwidth consumption and computing resource usage while maintaining configuration efficiency.
Solution Approach 2:
The service layer implements a universal batch configuration mechanism that can handle multiple different target resources through a single standardized interface. This multi-functional approach allows diverse resource configuration operations to be processed uniformly, reducing the need for separate interaction protocols and minimizing overall system resource consumption.
2Manufacturing precision
If multiple individual operations are initiated for multiple target resources, then each resource can be configured accurately, but the process complexity and time consumption increase
Solution Approach 1:
The service layer performs preliminary processing by pre-compiling a list of target resources and their configuration parameters before executing the actual configuration operations. This preliminary organization allows the system to process multiple resources in a coordinated manner, maintaining accuracy while reducing the time required for sequential individual operations.
Solution Approach 2:
The batch configuration mechanism enables continuous processing of multiple target resources without interrupting the configuration workflow. Once a batch request is initiated, the service layer continuously processes all target resources in the batch without requiring intermediate pauses or separate interaction cycles, thereby reducing total configuration time while maintaining precision.
3Productivity
If individual processing is performed for each target resource, then resource configuration can be completed, but the pressure on application layer and service layer computing resources increases
Solution Approach 1:
The patent combines multiple individual resource configuration processing tasks into a single batch processing operation. The service layer aggregates multiple target resource configurations into one unified processing cycle, reducing the cumulative computing resource pressure that would result from handling each configuration separately. This merging approach maintains configuration completion while significantly lowering energy consumption and system load.
Data Source
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AI summary
The present disclosure relates to a method, apparatus and storage medium for resource configuration. The method includes: receiving a request for resource creation, the request comprising a configuration rule for automatic configuration of a target resource; creating an automatic deployment resource in response to the request, wherein the automatic deployment resource includes configuration rule information derived from the configuration rule included in the request; and identifying the target resource to be configured and performing resource configuration for the identified target resource based on the configuration rule information. Thus, the efficiency of configuring a target resource is increased.