Dictionary-Based Encoded Data Manipulation Without Decoding
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Solution Overview
Problem
Existing data encoding methods require decoding and subsequent reencoding, which is computationally expensive and inefficient.
Innovation Solution
A system and method for processing encoded data without decoding, using a dictionary file and mappings to manipulate encoded data directly, allowing operations like compression, encryption, and computations on encoded data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is encoded (compressed or encrypted), then storage space is saved or data security is improved, but computational overhead increases when manipulation is required
Solution Approach 1:
The data is divided into multiple segments, each independently encoded with its own mapping to the dictionary file. This segmentation allows selective processing of only the segments that need manipulation, avoiding the need to decode and reencode the entire dataset, thus reducing computational overhead while maintaining storage efficiency.
Solution Approach 2:
A dictionary file serves as an intermediary between the encoded data segments and the original data. The dictionary contains mappings that allow direct manipulation of encoded segments without full decoding. This intermediary structure enables efficient computation on encoded data by providing lookup-based access and manipulation capabilities.
2Quantity of substance
If data is encoded, then storage efficiency is improved, but processing speed decreases due to decoding requirements
Solution Approach 1:
The dictionary file is pre-generated and stored, containing all necessary mappings between encoded segments and original data portions. This preliminary action allows subsequent processing operations to directly manipulate encoded segments using the pre-computed mappings, eliminating the need for time-consuming decoding steps during actual data processing operations.
3Ease of operation
If decoding and reencoding is performed for data manipulation, then data accessibility is improved, but time consumption increases
Solution Approach 1:
The traditional mechanical process of decoding and reencoding is replaced with a lookup-based system using the dictionary file. Instead of performing complex decoding operations to access and manipulate data, the system uses direct mapping lookups in the dictionary file, substituting a computationally intensive mechanical process with a faster information retrieval operation.
Data Source
AI summary
A computer-implemented method, computer program product and computing system for: processing an unencoded data file to identify a plurality of file segments, wherein the unencoded data file is a dataset for use with a disaster recovery process; mapping each of the plurality of file segments to a portion of a dictionary file to generate a plurality of mappings that each include a starting location and a length, thus generating a related encoded data file based, at least in part, upon the plurality of mappings; receiving a request to manipulate the unencoded data file from the disaster recovery process; and processing the related encoded data file based, at least in part, upon the plurality of mappings and the dictionary file to generate a modified encoded data file that represents the requested manipulations of the unencoded data file.


