Reference Data Encoding for Asymmetric Decoding and Policy Enforcement
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Solution Overview
Problem
The rapid growth of digital data storage demand, exceeding the capacity of physical storage devices, necessitates a breakthrough in data storage technology to efficiently manage and transmit data.
Innovation Solution
A system and method for highly efficient data encoding that incorporates asymmetric encoding/decoding and distributed computing policy enforcement, utilizing a data structure with reference elements to reduce storage requirements and transmission bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional data compression methods are used, then storage capacity is doubled, but the solution is insufficient for zettabyte-level demand growth
Solution Approach 1:
The patent segments data into source blocks and creates a codebook with representative source blocks and codewords. Instead of compressing entire data sets uniformly, the system divides data into manageable segments that can be referenced efficiently, enabling more aggressive compression ratios suitable for zettabyte-scale storage demands.
Solution Approach 2:
The patent creates a codebook containing copies of representative source blocks and assigns codewords to reference them. This copying mechanism allows the system to store references rather than full data copies, achieving compression ratios far exceeding traditional 2:1 methods and addressing the gap between storage capacity and zettabyte-level demand.
2Quantity of substance
If data is encoded using a codebook with source blocks, then storage efficiency improves, but transmission bandwidth requirements increase without optimization
Solution Approach 1:
The patent transmits codewords that reference source blocks in the codebook rather than transmitting full data copies. This reference-based transmission dramatically reduces bandwidth consumption while maintaining storage efficiency, as the codebook can be stored locally at the receiving end and referenced during decoding.
3Reliability
If symmetric encoding/decoding is used, then data can be reconstructed accurately, but security is compromised as the codebook alone provides access
Solution Approach 1:
The patent implements asymmetric encoding/decoding where the decoding process applies additional transformations beyond simple codebook lookup. The decoder receives codewords, retrieves source blocks from the codebook, and applies transformation rules to produce transformed source blocks. This asymmetry ensures that even with the codebook, unauthorized parties cannot reconstruct the original data without the transformation rules, providing double security while maintaining reliable data reconstruction for authorized users.
4Productivity
If distributed computing is implemented, then processing capability increases, but data handling consistency becomes difficult to maintain
Solution Approach 1:
The patent creates a universal codebook structure and transformation rule framework that can be deployed across distributed computing environments. The codebook and transformation rules serve multiple functions: encoding, decoding, security, and consistency enforcement. This universal framework enables distributed processing while maintaining data handling consistency across different nodes and environments.
Data Source
AI summary
A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data into a different data set from the original data. In the case of network policy enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.