Hierarchical Behavior Codebooks for Adaptive Data Compaction
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Solution Overview
Problem
Existing entropy encoding methods lack flexibility and efficiency in managing encoding policies, leading to inefficiencies when processing diverse data sets with varying encoding requirements, and fail to adapt to evolving data characteristics.
Innovation Solution
A system utilizing hierarchical behavior codebooks that inherit properties from parent codebooks, with a behavior codebook manager to enforce encoding rules, resolve conflicts, and propagate updates, ensuring efficient and adaptable data compaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If traditional compression methods are used, then data storage capacity is maintained, but data size reduction is marginal and insufficient for exponential growth
Solution Approach 1:
The patent combines multiple codebooks (universal codebook, behavior codebook, and mismatch codebook) into a composite encoding system. This composite structure integrates different encoding strategies to achieve superior compression ratios compared to traditional single-method compression, directly addressing the insufficient data size reduction problem.
Solution Approach 2:
The behavior codebook introduces dynamic encoding rules that adapt to different data types and patterns. Instead of using a static compression approach, the system dynamically selects and applies appropriate encoding behaviors, significantly improving compression efficiency for diverse data sets and enabling the system to handle exponential data growth.
2Productivity
If entropy encoding methods are used, then data compaction efficiency is enhanced, but flexibility in managing encoding policies is reduced
Solution Approach 1:
The patent segments the encoding system into multiple independent codebooks (universal codebook for basic encoding, behavior codebook for policy management, mismatch codebook for edge cases). This segmentation allows each codebook to specialize in specific encoding tasks while maintaining overall flexibility, resolving the contradiction between efficiency and adaptability.
Solution Approach 2:
The universal codebook serves multiple functions by handling both common data patterns and working in conjunction with behavior codebooks for specialized encoding needs. This multi-functionality maintains high compression efficiency while providing the flexibility to adapt to different encoding requirements through the behavior codebook layer.
3Speed
If fixed codebooks are used, then encoding speed is maintained, but adaptability to evolving data characteristics is lost
Solution Approach 1:
The behavior codebook implements dynamic encoding rules that can adapt to evolving data characteristics while maintaining encoding speed. The system dynamically selects appropriate encoding behaviors based on data patterns, allowing it to respond to changing data characteristics without sacrificing the speed benefits of pre-defined codebooks.
Solution Approach 2:
The encoding system performs self-updates by learning from new data patterns and automatically adjusting behavior codebook rules. This self-service capability allows the system to adapt to evolving data characteristics autonomously, maintaining both speed and adaptability without requiring external intervention or retraining.
4Measurement precision
If codebook size is increased to handle diverse data, then encoding accuracy improves, but device complexity increases
Solution Approach 1:
The patent divides the codebook system into multiple specialized codebooks, each handling specific aspects of encoding. This segmentation improves encoding accuracy for diverse data types while distributing complexity across manageable components, making the overall system easier to implement and maintain despite the enhanced capabilities.
Data Source
AI summary
Codebook data compaction using hierarchical behavior codebooks to dynamically manage encoding policies and improve entropy encoding methods. A hierarchy of behavior codebooks is maintained, allowing child codebooks to inherit properties from parent codebooks. Behavior codebooks define rules, limitations, and policies for encoding, including sourceblock prioritization and recursive compaction. Conflicts between inherited behaviors are resolved across the hierarchy, and updates to parent codebooks propagate to child codebooks. A behavior codebook manager oversees inheritance validation, policy enforcement, and version control. Data is encoded and decoded using the codebook and the resolved behavior codebooks, ensuring efficient and adaptive data compaction.