Telecommunications Network Management with Metadata-Guided Queries
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Solution Overview
Problem
Telecommunications network operators face challenges in managing massive amounts of telemetry data with complex structures and relationships, requiring real-time understanding and interpretation while ensuring security, especially across disparate geographical sites.
Innovation Solution
A natural language interface is used to manage telecommunications networks through a metadata repository and a language model, enabling translation of natural language queries into relational database queries, with metadata describing telemetry data stored in a database, allowing for secure and efficient management across multiple sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If natural language interface is used to query telemetry data, then ease of operation is improved, but device complexity increases due to need for language model and metadata repository integration
Solution Approach 1:
The patent introduces a language model as an intermediary component that translates natural language queries into database queries. This mediator handles the complexity of translation between human language and technical query languages, allowing operators to use simple natural language while the system manages the sophisticated translation process through the language model and metadata repository integration.
2Productivity
If real-time querying of massive telemetry data is enabled, then productivity is improved, but measurement precision deteriorates due to complexity of data relationships
Solution Approach 1:
The patent implements preliminary action by pre-computing and storing metadata about telemetry data relationships, schemas, and structures in a metadata repository before queries are executed. This pre-prepared metadata enables the language model to quickly understand data relationships and generate accurate queries without having to analyze complex data structures in real-time, thus maintaining both speed and precision.
3Adaptability or versatility
If metadata repository is introduced to manage data descriptions, then adaptability is improved, but device complexity increases due to additional system components
Solution Approach 1:
The metadata repository serves multiple functions: it stores data schemas, describes telemetry data relationships, provides context for the language model, and enables flexible query formulation. This multi-functional component increases adaptability while consolidating what could otherwise be scattered complexity into a single universal repository that serves the entire query system.
4Ease of operation
If natural language processing is implemented for network management, then ease of operation is improved, but loss of time increases due to processing complexity
Solution Approach 1:
The system performs preliminary action by pre-loading and indexing metadata in the metadata repository before queries are submitted. This pre-processing of data descriptions allows the language model to quickly retrieve relevant schema information and relationship contexts during query processing, significantly reducing the time required to translate natural language queries into executable database queries.
Data Source
AI summary
A natural language query is received from an operator of a telecommunications network. A metadata request is computed from the natural language query. The metadata request is sent to a repository of metadata, the metadata describing telemetry data of the telecommunications network, the telemetry data stored in a relational database. Metadata is received from the metadata repository in response to the metadata request. Using the received metadata and a language model a relational database query is computed and the relational database is queried. A response is received from the relational database, triggering an action.