Image-Based Performance Data Processing for Network Analytics
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently processing and analyzing large volumes of performance measurement data from network elements, leading to high storage and processing demands, which compromise the accuracy of predictive and statistical analyses.
Innovation Solution
The implementation of an image creation agent that generates images representing data sets, where pixel values correspond to data entries, allowing for the conversion of timestamp information into timestamp difference information, and subsequent processing by network elements, management systems, and analytics functions to optimize data utilization and reduce storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large volumes of performance measurement data are collected and stored, then the accuracy of predictive and statistical analyses is improved, but storage requirements and processing demands increase significantly
Solution Approach 1:
The patent transforms raw performance measurement data into image representations where visual patterns capture the essential characteristics of the data. Instead of storing and processing the original numerical data, the system creates visual copies (images) that preserve the meaningful patterns and relationships, thereby reducing storage requirements while maintaining analysis accuracy.
Solution Approach 2:
The system changes the representation parameters of the data from numerical formats to visual/image formats. By transforming data entries into pixel values within images, the system alters the data's physical state to enable more efficient storage and processing, while the transformed data retains sufficient information for accurate predictive and statistical analyses.
2Measurement precision
If large volumes of performance measurement data are processed, then the accuracy of predictive and statistical analyses is improved, but processing demands and computational complexity increase
Solution Approach 1:
The patent creates visual copies of data that are easier and faster to process than the original numerical data. Image processing operations (such as pattern recognition, feature extraction, and visual analysis) are computationally less intensive than processing large volumes of raw data, enabling accurate analyses with reduced processing demands.
Solution Approach 2:
The system replaces complex numerical data processing operations with visual processing mechanisms. Instead of performing complex statistical computations on raw data, the system uses visual pattern recognition and image analysis techniques, which simplify the processing mechanism while maintaining analytical accuracy.
3Loss of information
If raw data is stored and processed, then complete information is preserved, but storage space and data management complexity increase
Solution Approach 1:
The patent creates condensed visual representations (images) that capture the essential information from raw data. These image copies preserve the meaningful patterns, trends, and relationships present in the original data while occupying significantly less storage space, thereby reducing storage requirements without substantial loss of information.
Solution Approach 2:
The system extracts and isolates the most significant information from the raw data and encodes it into visual patterns within images. By taking out only the essential characteristics and representing them visually, the system reduces data volume while maintaining information completeness for the purposes of predictive and statistical analyses.
Data Source
AI summary
There is provided an apparatus comprising means for receiving, at an image creation agent, a data set; generating, by the image creation agent, based on the received data set, an image associated with the data set, wherein pixel values in the image represent values of data entries of a plurality of rows of data of the data set; and outputting, from the image creation agent, the generated image.