Tunnel Data Compression via Reference Message Differentiation
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Solution Overview
Problem
Existing tunneling technologies face poor compression effects due to high uncertainty in original message content, leading to inefficient bandwidth resource utilization in data transmission.
Innovation Solution
The method involves differentiating and compressing original messages with current reference messages within the same tunnel, generating tunnel messages with compression information headers containing reference message identifiers, and updating these identifiers as necessary to improve correlation and compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If original messages are compressed directly using existing tunneling technology, then the compression process is simple, but the compression effect is poor due to high information entropy of original message content
Solution Approach 1:
The patent applies preliminary action by performing differentiation between original messages and reference messages before compression. This pre-processing step transforms the original messages into a form with lower information entropy, making them more suitable for compression. The differentiation operation is executed prior to the compression process, preparing the data to achieve better compression ratios.
Solution Approach 2:
The patent introduces reference messages as an intermediary element to improve compression. By comparing original messages with reference messages and performing differentiation, the system creates a transformed representation that captures only the differences. This intermediary transformation step enables more effective compression while maintaining the ability to reconstruct original messages at the receiver end.
2Productivity
If bandwidth resources are increased artificially to improve transmission capacity, then transmission efficiency improves, but the cost increases
Solution Approach 1:
The patent changes the parameter of message representation by performing differentiation and compression transformations. Instead of transmitting original messages directly, the system transforms them into a compressed format with fewer bits required for transmission. This parameter change in message encoding enables more efficient use of existing bandwidth resources, increasing effective transmission capacity without requiring additional bandwidth allocation.
3Measurement precision
If reference message update criterion is applied frequently to maintain accuracy, then compression accuracy improves, but processing overhead increases
Solution Approach 1:
The patent applies partial action by selectively updating reference messages based on a defined update criterion rather than updating them after every single original message. This selective approach maintains sufficient compression accuracy while avoiding the excessive processing overhead that would result from updating reference messages after every transmission. The system performs differentiation and compression only when necessary according to the update criterion.
Data Source
AI summary
Disclosed in the present invention are a data transmission method and processing method, and a device, which are used for improving the compression effect on an original message during tunnel transmission, wherein the data transmission method comprises: obtaining an original message to be transmitted and a current reference message, the current reference message and the original message being transmitted in the same tunnel; differentiating and compressing the original message and the current reference message to obtain an information message; encapsulating the information message by using a tunneling protocol to generate a tunnel message, the tunnel message comprising a compression information header, and the compression information header comprising a reference message identifier corresponding to the current reference message; and sending the tunnel message. With the disclosed method, each message in the same tunnel have a certain correlation. Therefore, the differentiation result obtained after the original message and the current reference message are differentiated is more regular, the information entropy thereof is smaller and a better compression effect may be obtained.