Model-Based Data Transfer for Lower Cloud Network Load
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Solution Overview
Problem
The transfer of large volumes of data from devices to data management means, such as clouds, often leads to network overload and high costs, especially when using mobile radio, and existing data compression methods only reduce data volume to a limited extent.
Innovation Solution
A method where a model is determined using modeling data to select and transfer only the necessary data from the device to the data management means, potentially transferring every second data value, thereby reducing the volume of data transferred while considering the characteristics of the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all data from the volume of data is transferred to the data management means, then complete data availability is achieved, but network overload and high costs occur
Solution Approach 1:
The patent applies partial action by transferring only a subset of data points rather than all data. A model is created from the complete data set, and only selected data points that are most representative or deviate from the model are transferred to the data management means. This reduces the quantity of transferred data while maintaining sufficient information for analysis and monitoring purposes.
Solution Approach 2:
The patent changes the parameter of data representation by transforming raw data into a model-based format. Instead of transferring all original data points, the system creates a mathematical or statistical model that describes the data characteristics, and only transfers parameters or deviations from this model. This parameter transformation significantly reduces data volume while preserving essential information.
2Quantity of substance
If data compression is applied to reduce data volume, then transfer costs are reduced, but compression effectiveness is limited
Solution Approach 1:
The patent extracts only the essential or most significant data points from the complete data set based on a created model. Instead of compressing all data, the system identifies and extracts specific data points that are most relevant for monitoring and analysis, discarding redundant information. This extraction approach achieves superior volume reduction compared to traditional compression methods.
Solution Approach 2:
The patent creates a model copy or representation of the complete data set rather than transferring the original data. This model serves as a simplified copy that captures the essential characteristics and trends of the data with minimal information, enabling significant volume reduction while maintaining analytical value.
3Quantity of substance
If every second data value is transferred to reduce volume, then data transfer volume is reduced, but data characteristics may be lost
Solution Approach 1:
The patent applies selective partial action by transferring only specific data points that are most representative or deviate from the model, rather than transferring every second data point systematically. This selective approach ensures that the most important information is preserved while minimizing data loss, achieving better results than systematic sampling.
Solution Approach 2:
The patent transforms the data selection criterion from a fixed sampling interval to a model-based parameter selection. Data points are selected based on their deviation from the model or their representativeness, rather than simply by position in the sequence. This parameter-based selection preserves data characteristics more effectively than systematic sampling.
Data Source
AI summary
Method for transferring data from a device to a data management means, switching unit, device and system The invention relates to a method for transferring data (16) from a device (6) to a data management means (4). In order to reduce the amount of data transferred and according to the method of the invention, using modeling data (26, 42) present in the device (6) a model (30, 44) described by the modeling data (26, 42) is determined. Using the model (30, 44), the data that is actually to be transferred to the data management means (4) is selected from a volume of data (40) provided for transfer. The device (6) transfers the selected data to the data management means (4).