Special Address Metadata for Damaged Memory Cell Recovery
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Solution Overview
Problem
Conventional datacenter redundancy mechanisms across different locations require large hardware investments, are computationally expensive, and cause network bandwidth congestion, failing to efficiently recover data from inaccessible memory cells.
Innovation Solution
Implementing a software-based solution within a computer memory assembly that sequentially links memory cells, using a miniscule special address location and metadata to recover lost data locally without network bandwidth consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional datacenter redundancy mechanisms are implemented across different locations, then data reliability is improved, but device complexity and hardware investment increase significantly
Solution Approach 1:
The patent embeds recovery capability directly within the memory assembly by nesting a secondary memory cell inside the primary memory cell structure. This nested configuration allows the smaller secondary cell to store recovery information locally, eliminating the need for external backup systems while maintaining data reliability.
Solution Approach 2:
The patent introduces a special address location as an intermediary mechanism that references the secondary memory cell. This intermediary structure enables the system to access recovery data without requiring complex external redundancy systems, simplifying the overall device architecture while preserving reliability.
2Reliability
If conventional backup storage systems are deployed, then data recovery capability is improved, but computational resources and energy consumption increase
Solution Approach 1:
The patent performs preliminary action by pre-storing recovery information in the secondary memory cell alongside the primary data. This advance preparation eliminates the need for computationally intensive recovery operations later, as the recovery data is already in place and can be retrieved with minimal processing.
Solution Approach 2:
The patent creates a simplified copy of essential recovery information in the secondary memory cell rather than maintaining full backup copies. This selective copying approach reduces computational overhead while preserving the critical data needed for recovery operations.
3Reliability
If traditional backup mechanisms are implemented, then data protection is improved, but network bandwidth consumption and operational time increase
Solution Approach 1:
The patent segments the memory assembly into primary and secondary cells, each with distinct functions. The secondary cell is dedicated solely to storing recovery information, allowing immediate local access without network operations. This segmentation eliminates backup operation time delays while maintaining robust data protection.
Solution Approach 2:
The memory assembly performs self-service by containing all necessary recovery information internally within the secondary memory cell. This self-contained approach eliminates dependency on external backup systems and network operations, enabling instantaneous data protection and recovery without time losses.
Data Source
AI summary
Aspects of the embodiments disclosed herein include employing data stored on a first memory cell to recover lost data that cannot be retrieved from a second memory cell, for example, due to data loss or damage to the second memory cell. In one embodiment, the first memory cell and the second memory cell are part of the same computer memory assembly, such as the same SSD, and are directly linked to each other. In one embodiment, the first memory cell stores, among other things, a first special address location that references a location of the second memory cell and metadata of the second memory cell. In one embodiment, the first special address location is used to retrieve lost data from the second memory cell, thereby providing a computationally inexpensive technique for recovering lost data without the need for performing traditional computationally expensive backup operations across datacenters.