Codebook Encoding for Virtualization With Unseen Data Handling

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Solution Overview

Problem

Current data storage and transmission technologies are facing challenges due to exponential data growth exceeding storage capacity and bandwidth limitations, with existing entropy encoding methods inefficiently handling previously-unseen data, and security concerns increasing with quantum computing advancements.

Innovation Solution

A system and method using mismatch probability estimation to improve entropy encoding by calculating the frequency of data sourceblocks and incorporating mismatch codewords, enabling efficient handling of previously-unseen data through codebook compaction and secondary encoding processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If traditional entropy encoding methods are used, then data compaction is achieved, but previously-unseen data cannot be efficiently encoded leading to poor compression ratios

Engineering Contradiction:

Improvedata compaction efficiencyVSAvoidhandling of previously-unseen data

Core Design Contradiction:

Quantity of substanceVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by training the codebook on representative data before actual encoding operations. This pre-training enables the codebook to anticipate and efficiently encode previously-unseen data that falls within the training distribution, resolving the contradiction between compaction efficiency and adaptability to new data.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The codebook acts as an intermediary between the encoder and decoder, containing pre-computed encoding mappings. This intermediary structure allows the system to achieve both efficient compaction for seen data and reasonable handling of unseen data by mapping to the nearest codebook entries, without requiring complex real-time computation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If more physical storage capacity is added, then storage demand is temporarily met, but storage demand continues to outstrip manufacturing capacity

Engineering Contradiction:

Improvestorage capacityVSAvoidstorage manufacturing capacity

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The system creates a composite storage architecture combining compressed data representations with selective decompression capabilities. By storing data in compressed form and only decompressing what is needed, the system effectively multiplies the utility of available storage capacity, allowing one physical storage unit to serve multiple logical storage needs.

Inventive Principle:

Principle #40Composite materials

Solution Approach 2:

The storage system is segmented into compressed data storage and active working memory. By dividing the storage architecture and only maintaining essential data in uncompressed form, the system maximizes the effective storage capacity of limited physical resources while maintaining productivity.

Inventive Principle:

Principle #1Segmentation

3Speed

If data is transmitted at higher bandwidth, then data transmission speed improves, but transmission bandwidth becomes increasingly bottlenecked

Engineering Contradiction:

Improvedata transmission speedVSAvoidtransmission bandwidth

Core Design Contradiction:

SpeedVSQuantity of substance

Solution Approach 1:

The system changes the parameter of data representation from uncompressed to compressed form before transmission. This parameter change reduces the quantity of data that needs to be transmitted while maintaining the essential information content, effectively increasing transmission speed without requiring additional bandwidth infrastructure.

Inventive Principle:

Principle #35Parameter changes

4Reliability

If existing encryption technologies are used, then data security is maintained, but security is placed at risk by quantum computing advancements

Engineering Contradiction:

Improvedata securityVSAvoidresistance to quantum computing

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system replaces traditional mathematical encryption mechanisms with a codebook-based encoding system. This substitution creates a form of security that is resistant to quantum computing attacks, as the security relies on the complexity of the codebook structure and encoding mappings rather than mathematical problems that quantum computers can solve efficiently.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12578857B2System and method for operating system multiloading and virtualization using codebook encoding of data streams and process calls

Publication Date: 2026.03.17 ATOMBEAM TECH INC

AI summary

A system for operating system virtualization using codebook encoding to improve entropy encoding methods. Training data sets are analyzed to determine occurrence frequency of each sourceblock in the data sets. A mismatch probability estimate is calculated at which any given data sourceblock received will not have a codeword in the codebook. Entropy encoding is used to generate codebooks comprising codewords for sourceblocks based on the frequency of occurrence of each. A “mismatch codeword” is inserted into the codebook to represent those cases when a block of data does not have a codeword.