OCTS Code Table Signaling for Faster Data Recovery
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Solution Overview
Problem
Current data storage systems face challenges in efficiently recovering lost data and managing errors in memory cells, particularly in scenarios where retransmission is not possible, and they often rely on industry and regulatory standards that limit flexibility and effectiveness.
Innovation Solution
The implementation of Optimized Code Table Signaling (OCTS) for data storage, which includes encoding binary inputs into vectors, managing bit error rates, and using reverse table lookups for data recovery, along with additional error control mechanisms like checksums and cyclic redundant codes to correct errors and optimize data transfer rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data storage schemes with partitioning and redundancy techniques are used, then data security and reliability are improved, but device complexity and loss of information increase
Solution Approach 1:
The patent applies OCTS (Optimized Code Table Signaling) to transform digital data streams through parameter changes in encoding schemes. By using optimized code tables that dynamically adjust encoding parameters, the system achieves improved data recovery capability without proportionally increasing system complexity. The OCTS methodology changes the fundamental parameters of how data is encoded and decoded, allowing for more efficient error correction and data reconstruction.
Solution Approach 2:
The patent implements preliminary action by pre-characterizing the data storage device or system using OCTS before actual data storage occurs. This preliminary characterization establishes optimized code tables and encoding schemes tailored to the specific storage medium's properties. By performing this preparation in advance, the system reduces the complexity of real-time error correction and data recovery operations.
2Reliability
If conventional data storage schemes are used, then data storage capability is provided, but loss of time occurs during data recovery operations
Solution Approach 1:
The patent performs preliminary characterization of the storage device using OCTS to pre-optimize code tables and encoding schemes. This advance preparation enables faster data recovery operations by having recovery parameters ready in advance, eliminating the need for complex real-time analysis during recovery operations.
Solution Approach 2:
The patent uses OCTS to create optimized code table representations that serve as templates for data recovery. These pre-computed code tables act as copies or models of the storage device's characteristics, allowing rapid matching and recovery operations without repeatedly analyzing the actual stored data structure.
3Adaptability or versatility
If industry and regulatory standards for data storage are followed, then compatibility is improved, but adaptability and loss of information worsen
Solution Approach 1:
The patent applies OCTS with dynamically adjustable encoding parameters that can be optimized for specific storage devices. This parameter flexibility allows the system to adapt to different storage media characteristics while maintaining data integrity. The optimized code tables are tailored to the specific device being used, maximizing the utilization of available storage capacity and minimizing information loss.
Data Source
AI summary
A computer-implemented method, system, and apparatus for storing binary data is disclosed. A processor receives a digital bit stream and transforms the digital bit stream to an encoded digital bit stream. The encoded digital bit stream comprises a data message encoded by an OCTS-expanded table for storage. The processor stores the encoded digital bit stream on a digital data storage device or system.