Landmark Chunking Algorithm for Landmark-Free Data Regions
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Solution Overview
Problem
Landmark chunking algorithms perform poorly in regions devoid of landmarks, leading to reduced efficiency and increased processing time, especially in cases like large data sections filled with zeros, where frequent maximum-size chunk production significantly slows down the chunking process.
Innovation Solution
A computer-executed method and system that detect landmark-free regions using techniques such as checking chunk lengths or hash functions, allowing for the use of specialized landmark chunking techniques to produce maximum-length chunks without data inspection, thereby maintaining high-speed performance similar to that in regions with landmarks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standard landmark chunking technique is used in landmark-free regions, then data compaction is maintained, but processing speed significantly decreases
Solution Approach 1:
The patent applies different chunking strategies based on the local characteristics of data regions. In landmark-free regions, a specialized fast chunking technique is used that produces maximum-length chunks without data inspection. In landmark-rich regions, the standard landmark chunking technique is used to maintain data compaction. This local differentiation resolves the contradiction by optimizing for speed where landmarks are absent while maintaining compaction where landmarks are present.
Solution Approach 2:
The chunking algorithm dynamically adapts its behavior based on the data region being processed. It detects whether a region is landmark-free and switches between two different chunking techniques accordingly. This dynamic adaptation allows the system to achieve high processing speed in landmark-free regions while maintaining effective data compaction in landmark-rich regions, resolving the performance contradiction.
2Speed
If maximum-size chunks are produced continuously in landmark-free regions, then processing speed increases, but data compaction efficiency decreases
Solution Approach 1:
The system recognizes that landmark-free regions have different characteristics from landmark-rich regions and applies appropriate chunking strategies to each. In landmark-free regions, maximum-length chunks are produced for speed optimization. In landmark-rich regions, the standard technique maintains data compaction. This local quality differentiation allows the system to optimize for speed where appropriate without sacrificing compaction efficiency where needed.
Solution Approach 2:
The patent changes the chunking parameters and behavior based on the data region characteristics. When in a landmark-free region, the system changes to a specialized mode that produces maximum-length chunks without inspection, significantly increasing speed. When landmarks are detected, the system switches back to the standard mode that maintains compaction efficiency. This parameter change strategy resolves the contradiction between speed and compaction efficiency.
3Measurement precision
If data inspection is performed for every byte to detect landmarks, then accurate chunking is achieved, but processing time increases significantly
Solution Approach 1:
The patent implements a skipping mechanism where data inspection is skipped entirely in landmark-free regions. By detecting that a region is landmark-free, the system rushes through the data without byte-by-byte inspection, directly producing maximum-length chunks. This skipping approach maintains accurate chunking in landmark-rich regions while dramatically reducing processing time in landmark-free regions, resolving the contradiction between inspection accuracy and processing speed.
Solution Approach 2:
The system performs preliminary detection to identify landmark-free regions before engaging in costly data inspection. By using heuristic methods or metadata to preliminarily determine whether a region contains landmarks, the system can skip detailed inspection in landmark-free regions while maintaining accurate chunking where needed. This preliminary action reduces the overall time for data inspection while preserving measurement precision when required.
Data Source
AI summary
A computer-executed method for forming data chunks from a sequence of data values comprises determining whether processing of the sequence of data values has entered a landmark-free region. If processing has entered a landmark-free region, a data chunk is produced using a specialized landmark chunking technique that is specialized for landmark-free regions. Otherwise, the method comprises producing a data chunk using a standard-data landmark chunking technique.