Transmission Strategy Selection for Large File Optimization
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Solution Overview
Problem
Current methods for transmitting large files, such as visual images, face challenges with cost, transmission quality, and latency due to bandwidth restrictions, which can result in burdensome costs or quality issues.
Innovation Solution
A system and method that selects a transmission strategy based on inputs like source file descriptors, user-defined inputs, system environment dynamics, and historical information, involving pre-processing and compression techniques to optimize file transmission, with metadata generated to facilitate post-transmission processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large files are transmitted without compression, then transmission quality is maintained, but bandwidth requirements and transmission costs increase
Solution Approach 1:
The system performs pre-transmission processing including compression and preprocessing of files before they are transmitted. This preliminary action reduces the file size and bandwidth requirements while maintaining the ability to restore transmission quality through post-transmission processing using generated metadata
Solution Approach 2:
The system changes the parameters of the data by applying compression algorithms and preprocessing techniques that modify the file structure and size. The metadata generated during this process enables the receiving system to reverse these parameter changes and restore the original quality
2Quantity of substance
If compression is applied to reduce file size, then bandwidth requirements are reduced, but transmission quality may deteriorate
Solution Approach 1:
The system generates metadata during pre-transmission processing that provides feedback information about the compression and preprocessing applied. This metadata is transmitted with the file and enables the receiving system to apply appropriate decompression and post-processing to restore transmission quality
Solution Approach 2:
The system performs preliminary compression with the understanding that post-transmission processing will reverse the quality degradation. The metadata generated during compression guides the decompression process to maintain quality
3Productivity
If pre-processing and compression are applied, then transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the transmission process into distinct phases: pre-transmission processing (compression and preprocessing), transmission, and post-transmission processing (decompression and post-processing). Each phase is handled by different system components, which manages complexity while improving efficiency
Data Source
AI summary
A method for transmitting a source file includes receiving at least one input relating to the transmission of the data; selecting a transmission strategy using the at least one input; processing the data using the selected transmission strategy; transmitting the processed data; transmitting metadata defining the selected transmission strategy; and processing the transmitted data using the transmitted metadata. A related system may include a transmission system and receiving station configured to perform such a method.