Compacted Data File Manipulation With Random-Access Codebooks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The rapid growth of data storage demand has outpaced the capacity to store it, leading to bottlenecks in data storage and transmission, especially with the rise of multimedia data, and existing data compression methods are inadequate, as they either require significant reprocessing or degrade data quality.
Innovation Solution
A system and method for manipulating compacted data files using a reference codebook, random-access engine, and data deconstruction engine to enable random access and efficient data manipulation, including search and write operations without full decompression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is applied to increase storage capacity, then storage efficiency is improved, but random access capability deteriorates
Solution Approach 1:
The patent segments the compressed data file into multiple blocks, each with its own header containing metadata about the block's content and position. This segmentation allows the system to access specific blocks without decompressing the entire file, thereby maintaining random access capability while using compression to increase storage capacity.
Solution Approach 2:
The patent introduces an intermediary indexing structure that maps compressed data blocks to their original positions and content descriptions. This intermediary layer enables the system to locate and access specific compressed blocks without full decompression, resolving the contradiction between compression efficiency and random access capability.
2Ease of operation
If full decompression is performed to enable data manipulation, then data accessibility is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements partial decompression by only decompressing specific blocks of compressed data that are needed for the current operation, rather than decompressing the entire file. This partial action approach maintains data accessibility for required portions while significantly reducing processing time and computational resource consumption.
Solution Approach 2:
The patent performs preliminary indexing and metadata generation during the compression phase, organizing data into accessible blocks with descriptive headers. This preliminary action enables rapid location and selective decompression of specific data portions, avoiding the need for full decompression and reducing processing time for subsequent data manipulation operations.
3Quantity of substance
If traditional compression methods are used to reduce data size, then storage efficiency is improved, but data quality deteriorates
Solution Approach 1:
The patent employs parameter changes by implementing a block-based compression approach where different compression parameters can be applied to different data blocks based on their content and importance. This allows the system to maintain high data quality for critical blocks while achieving greater compression for less critical data, thus improving storage efficiency without uniformly degrading data quality.
Data Source
AI summary
A system and method for manipulation of compacted data files, utilizing a reference codebook, a random-access engine, a data deconstruction engine, and a data deconstruction engine. The system may receive a data query pertaining to a data read or data write request, wherein the data file to be read from or written to is a compacted data file. A random-access engine may facilitate data manipulation processes by accessing a reference codebook associated with the compacted data file, a frequency table used to construct the reference codebook, and data query details. A data read request is supported by random-access search capabilities that may enable the locating and decoding of the bits corresponding to data query details. A random-access engine facilitates data write processes. The random-access engine may encode the data to be written, insert the encoded data into a compacted data file, and update the codebook as needed.