Adaptive Tunnel Transport Protocol for Data Compression
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Solution Overview
Problem
Existing data compression technologies in computer networks fail to maintain optimal compression under adverse network conditions, such as high-loss networks, leading to stalls in data delivery and loss of compression benefits.
Innovation Solution
A method that switches between stateful compression algorithms with reliable transport protocols and stateless compression algorithms with unreliable transport protocols based on network conditions, ensuring continuous data compression without packet reordering, and automatically switches back to reliable mode when conditions improve.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If stateful compression algorithms with reliable transport protocols are used, then compression efficiency is improved, but data delivery stalls under high-loss network conditions
Solution Approach 1:
The system dynamically switches between reliable and unreliable transport protocols based on network conditions. When network loss exceeds a threshold, the system transitions from TCP-based reliable transport to UDP-based unreliable transport, allowing compression to continue without stalls while accepting some packet loss.
Solution Approach 2:
The system changes the transport protocol parameter (reliable vs unreliable) based on network conditions. By monitoring packet loss rates and adjusting the transport mode, the system optimizes both compression efficiency and delivery continuity under varying network conditions.
2Reliability
If unreliable transport protocol is used to maintain compression under high-loss conditions, then data delivery continuity is improved, but packet reordering occurs
Solution Approach 1:
The system segments the compression data into independent packets that can be transmitted via unreliable transport. Each packet is self-contained with sufficient context to be decompressed independently, allowing out-of-order delivery without corrupting the overall compression state.
Solution Approach 2:
The system creates independent copies of compression context for each packet transmitted over unreliable transport. This allows packets to be retransmitted or reordered without affecting the overall compression stream integrity, as each packet carries its own necessary context.
3Adaptability or versatility
If compression mode switches between reliable and unreliable transport, then adaptability to network conditions is improved, but system complexity increases
Solution Approach 1:
The system uses feedback from network condition monitoring (packet loss rates, transmission acknowledgments) to automatically adjust the transport protocol mode. This feedback loop enables adaptive switching between reliable and unreliable transport without manual intervention, balancing complexity with performance.
Solution Approach 2:
The compression system self-adjusts its transport mode based on observed network conditions. By monitoring its own transmission performance and autonomously switching protocols, the system reduces the need for external control mechanisms while maintaining optimal performance.
Data Source
AI summary
An exemplary embodiment provides a method for use in a data compression device wherein optimal compression is maintained in response to network characteristics by switching between a first compression mode, including use of a stateful compression algorithm and a reliable transport protocol, to a second compression mode, including a second compression algorithm and an unreliable transport protocol, as needed in order to keep data flowing. In the second compression mode, rather than bypassing an established tunnel between two data compression devices altogether and losing the benefits of compression, this method allows data to be compressed using an algorithm that does not require reliable packet delivery. When a positive change in network conditions is detected, data transmission using the first compression mode resumes.