Metadata-Enhanced Inventory Management for Communications Systems
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Solution Overview
Problem
The complexity of modern communications systems, with numerous hardware and software components, makes configuration and management difficult and error-prone, and existing methods for network inventory lack efficiency in describing dependencies between components.
Innovation Solution
The use of metadata to enhance inventory management by describing dependencies between components, allowing for better data collection and insight into system operations, including configuration, monitoring, and lifecycle operations, and enabling application functionality to be defined without hard-coding in programming languages or databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If metadata is used to describe dependencies between components, then data collection efficiency and system management capability are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent introduces metadata as an intermediary layer between the communication system components and the management application. This metadata describes dependencies between components without requiring the application to directly handle complex component relationships, thus improving data collection efficiency while managing system complexity through abstraction.
Solution Approach 2:
The patent adds a metadata dimension to the existing system architecture. By introducing this new layer of abstraction that captures dependency information separately, the system can collect and manage component relationships more efficiently without fundamentally complicating the core communication infrastructure.
2Ease of operation
If metadata is used to define application functionality, then developers are shielded from low-level system details and can work at higher abstraction levels, but the complexity of metadata management and processing increases
Solution Approach 1:
The patent segments the system into distinct layers: the communication system components, the metadata that describes their dependencies, and the management application. This segmentation allows developers to work with high-level metadata abstractions without needing to understand low-level component details, while metadata management complexity is isolated to a dedicated processing layer.
Solution Approach 2:
Metadata acts as an intermediary between the communication system and the management application, shielding developers from low-level complexities. The metadata layer captures essential dependency information while abstracting away implementation details, improving ease of operation at the cost of adding metadata management overhead.
3Reliability
If comprehensive dependency information is collected between components, then system management and monitoring capabilities are enhanced, but the amount of data to be processed and stored increases
Solution Approach 1:
The patent extracts only the essential dependency information between components into metadata, rather than collecting all possible data about component interactions. This selective extraction provides sufficient information for effective system management and monitoring while keeping the data volume manageable by focusing on critical relationships only.
Data Source
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AI summary
A method for management entity operations includes parsing a request to collect data for an entity in a communications system, the parsing to produce a parsed request and dependency information related to the request, and generating sets of model elements in accordance with context tokens and content tokens derived from the parsed request, the content tokens including extrinsic metadata and intrinsic metadata of the parsed request. The method also includes generating a platform-neutral description of results of the request from an optimized graph derived from the sets of model elements, executing the request to collect the data as requested, and storing the data as collected.