Dynamic Agent Monitoring With Separated Metadata Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing monitoring systems for computing environments are inflexible, as they employ static configurations and are limited to specific agents, leading to compatibility issues and inefficient data transmission due to the inclusion of metadata with sensor data.
Innovation Solution
A dynamic monitoring system that configures agents dynamically to adapt to changing specifications, separates metadata from sensor data for efficient transmission, and uses standardized message formats to accommodate agents from various sources, allowing for flexible resource allocation and adaptation to customer requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If static configuration is used in monitoring systems, then system stability is maintained, but adaptability to changing specifications deteriorates
Solution Approach 1:
The patent implements dynamic configuration where the monitoring system can adapt its structure and parameters in real-time based on changing requirements. The system transitions from static to dynamic by allowing configuration changes without system restart, enabling both stability during operation and adaptability to new specifications through hot-swappable agent architecture and runtime configuration updates.
Solution Approach 2:
The system enables parameter changes by allowing monitoring configurations, thresholds, and agent parameters to be modified dynamically during runtime. This includes changing monitoring intervals, resource allocation parameters, and agent behavior parameters without requiring system reconfiguration or restart, thus maintaining stability while adapting to new requirements.
2Loss of information
If metadata is included with sensor data, then data completeness is improved, but transmission efficiency deteriorates
Solution Approach 1:
The patent segments metadata from sensor data into separate transmission channels or packets. This segmentation allows the system to transmit sensor data and metadata independently, enabling selective transmission where only essential sensor data is sent frequently while metadata is transmitted less frequently or only when changed, thus improving transmission efficiency while maintaining data completeness.
Solution Approach 2:
The system extracts metadata from the sensor data transmission stream and handles it separately. This extraction allows the main sensor data to be transmitted with minimal overhead, while metadata is managed independently through separate update mechanisms, reducing the burden on transmission bandwidth while ensuring all necessary information is preserved.
3Adaptability or versatility
If standardized message formats are used, then compatibility with various agents is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal standardized message format that can accommodate multiple agent types and data sources. This single standardized interface handles diverse agent communications, eliminating the need for multiple specialized protocols. The universal format includes flexible fields that can represent different data types and structures, allowing one message format to serve multiple functions and agent types, thus improving compatibility without proportionally increasing complexity.
Data Source
AI summary
In some examples, a controller dynamically configures a property associated with monitoring performed by an agent. The controller stores, in a repository, metadata relating to the agent. The controller receives, from the agent, first sensor data that excludes the metadata, and uses indexing information in the first sensor data to retrieve the metadata from the repository.