Sensor Application Manager Configuration Copying
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Solution Overview
Problem
Current sensor management platforms are cumbersome when dealing with large deployments involving multiple sensors and application instances, as they primarily manage resources one at a time, lacking efficiency in scaling and resource allocation.
Innovation Solution
A method and system that utilize a master node and worker nodes to schedule and configure shared application instances across multiple sensors, allowing for efficient deployment and management of application instances by copying configurations from one sensor to others, thereby reducing inter-application communication latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual resource management is used, then system simplicity is maintained, but management efficiency deteriorates when dealing with large deployments
Solution Approach 1:
The system is segmented into a master node for high-level coordination and worker nodes for execution, allowing distributed management of sensors and application instances. This segmentation enables efficient handling of large deployments while maintaining manageable complexity through hierarchical organization.
Solution Approach 2:
The platform provides universal management capabilities that work across different sensor types and application instances through standardized interfaces and configurations. The master node and worker nodes perform multiple functions including deployment, monitoring, and coordination, improving management efficiency without requiring type-specific management systems.
2Loss of time
If manual configuration of each sensor is performed, then configuration accuracy is maintained, but deployment time increases
Solution Approach 1:
Application instances are pre-configured and packaged with their required parameters before deployment. The master node stores these pre-configured application instances and can quickly deploy them to sensors without requiring manual configuration at deployment time, thus reducing deployment time while maintaining accuracy through standardized pre-configured templates.
Solution Approach 2:
The system uses configuration copying mechanisms where application instance configurations are replicated across multiple sensors. The master node can copy configuration data from one sensor to others, ensuring consistent and accurate configuration while dramatically reducing the time required compared to manual configuration of each sensor individually.
3Quantity of substance
If shared application instances are implemented, then resource utilization is improved, but scheduling complexity increases
Solution Approach 1:
The master node acts as an intermediary between application instances and worker nodes, managing the scheduling of shared application instances. It coordinates which worker nodes execute which application instances, handling the scheduling complexity centrally while allowing worker nodes to focus on execution. This intermediary approach improves resource utilization by optimizing the allocation of shared instances across multiple sensors.
Data Source
AI summary
A method is provided for managing applications for sensors. In one embodiment, the method includes loading a plurality of applications and links for communicating with a plurality of sensors on a platform having an interface for entry of a requested use case; and copying a configuration from a grouping of application instances being applied to a first sensor performing in a function comprising of the requested use case. The method may further include applying the configuration for the grouping of application instances to a second set of sensors to automatically conform the plurality of sensors on the platform to perform the requested use case.