Indicator Query Pre-Computation for Multi-Mode Network Metrics
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Solution Overview
Problem
The existing methods for querying indicators in a database platform managing multiple network element performance modes (2G, 3G, 4G, 5G) face complexity and low efficiency due to the need to compute indicator information from a large number of introduced indicators.
Innovation Solution
An indicator query method and system that involves pre-computing indicator intermediate data based on operation parameters and rules, allowing direct retrieval from a pre-computation data set, reducing the need for extensive database searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If indicator information is queried and computed from original indicator data in the database platform, then the system can handle multiple network element performance modes (2G, 3G, 4G, 5G), but the query process becomes complex and query efficiency decreases
Solution Approach 1:
The patent applies pre-computation by calculating indicator intermediate data in advance and storing it in a pre-computation data set. This preliminary action allows the system to retrieve pre-calculated results during queries, avoiding the need to compute indicator information from original data in real-time, thus improving query efficiency while maintaining support for multiple network modes
Solution Approach 2:
The patent segments the indicator computation process into two stages: first, pre-computing and storing indicator intermediate data from original indicator data; second, retrieving and using this pre-computed data for actual queries. This segmentation separates the computationally intensive task from the query operation, reducing query complexity and improving efficiency
2Measurement precision
If indicator information is computed from original indicator data during queries, then the system can provide accurate indicator results, but the query process becomes complex and time-consuming
Solution Approach 1:
The system performs pre-computation of indicator intermediate data in advance, storing the results in a pre-computation data set. During actual queries, the system retrieves this pre-computed data rather than computing it from scratch, significantly reducing query processing time while maintaining calculation accuracy through proper data management and update mechanisms
3Adaptability or versatility
If the system manages and analyzes mass data from multiple network modes simultaneously, then the system can provide comprehensive network analysis, but the complexity of indicator query process increases
Solution Approach 1:
The patent segments the data management architecture into original indicator data storage and pre-computation data set storage. By separating the raw data from the processed indicator intermediate data, the system reduces query process complexity while maintaining comprehensive analysis capability across multiple network modes
Solution Approach 2:
The pre-computation data set acts as an intermediary layer between the original indicator data and the query operations. This intermediary stores pre-calculated indicator intermediate data, simplifying query processes while enabling comprehensive network analysis across different modes without directly querying the complex original data structures
Data Source
AI summary
The present disclosure relates to an indicator query method and system, an electronic device and a storage medium, which are applied to the technical field of data processing. The method comprises: acquiring an indicator query instruction, wherein the indicator query instruction carries an indicator name of a target indicator and target feature information about the target indicator; determining target operation information about the target indicator based on the indicator name, wherein the target operation information comprises a target operation parameter and a target operation rule; determining, from an indicator pre-computation data set, indicator intermediate data corresponding to the target operation parameter and the target feature information, wherein the indicator pre-computation data set is obtained by pre-computation based on original indicator data; determining a query result of the target indicator based on the indicator intermediate data and the target operation rule.