Redundant Data Error Correction TRIZ Cases

Microcontroller redirects n-1 bit write data to healthy cells, avoiding large defect tables and decoding failures.

Merging two I/O stacks into one CPU reduces device complexity while maintaining high reliability for ADAS applications.

Parity-based training commands measure setup and hold margins on backside bus segments to prevent silent data corruption at high frequencies.

Interface circuits calculate check words to detect memory errors without processor intervention, resolving delays in triggering power stop procedures.

Detects ECC failures in memory cell regions and migrates recovered data to secondary regions, reducing frequent read operations that shorten system lifespan.

A register bank uses a scan chain arrangement to shift parameters sequentially for integrity verification.

Rebundling grid encoded data storage systems distributes shards across devices to resolve the trade-off between data integrity and retrieval time.

A file system recovery method dynamically provisions storage slices based on real-time needs.

A storage controller generates parity values for specific error bit combinations to determine corrected data patterns.

A RAID controller detects storage device malfunctions and selects specific data preservation techniques to maintain system integrity.

Segmented metadata registers and selective write enables resolve the contradiction between error correction reliability and memory access performance.

Replicating persistent file handles in volatile memory via an in-memory vSAN object resolves performance overhead from stable storage access.

A DMA controller uses an integrity checker to compare actual and expected error codes during data transfers.

Dynamic extent groups replace rigid RAID structures, enabling rapid failure recovery without dedicated hot spares.

Extracting empty blocks from the rebuild process reduces I/O and parity calculations, accelerating data restoration.

Configurable calculation units process parity vectors concurrently to reduce disk rebuild times and lower secondary failure risks during data recovery.

Allocating one plane per device for parity data recovers failed planes while preserving storage capacity for non-parity information.

Checksum verification ensures failsafe code integrity, preventing unsafe execution when non-correctable errors occur.

Directory-level RAID groups multiple files into data stripes to generate a single consolidated parity file.

A coordinating storage device handles redundancy management and parity calculations, reducing write latency while maintaining data integrity across the array.

A backup initiator uses embedded bitmaps to regenerate incremental backups from snapshots.

A transmitting device reads back serial data on a single wire bus to compare against intended transmission values.

Memory dies generate native exclusive OR data pages to support rapid error recovery operations.

An on-die intra-controller executes error correction locally within the memory die to preserve external channel bandwidth for auxiliary data transfers.

Rotated parity distributes write load across units while a dynamic spare enables immediate reconstruction after failure.

Consolidating individual rebuild requests into one parity RAID request frame reduces recovery latency during cluster media errors.

A hybrid storage system segments volatile primary and temporary spaces alongside a non-volatile permanent backup space managed by a controller.

Hierarchical erasure coding recovers specific data segments instead of entire chunks to reduce computational overhead.

A shift register circuit compares output data with error correcting code values to identify and replace erroneous bits.

A Content Timeline Tracker produces a piecewise linear approximation of the content timeline from video watermarks.

Distributed resiliency groups perform Reed-Solomon error correction at each node, eliminating single points of failure in scalable memory networks.

An ECC encoder embeds metadata as virtual bits within check bits to expand memory capacity.

A storage control device copies data to a backup volume before initiating restoration processes.

Simulator evaluates erasure code fault tolerance using minimal erasure patterns and Tanner graphs to determine mean time to data loss.

A storage management system selects candidate devices for parallel stripe rebuilds based on calculated coupling degrees to minimize access conflicts.

Segmented CRC comparison enables precise error cause identification while minimizing communication overhead between host and memory systems.

Local touchup operations eliminate external data transfer, reducing power consumption while maintaining data reliability.

A memory controller generates flip data using a correction history table to enable error correction.

Software-based AI error correction replaces hardware circuits, reducing overhead while maintaining reliability during hazardous conditions and overclocking.

Prioritizes failing drive extents during RAID reconstruction to minimize I/O errors and system performance degradation.

A storage system generates parity information in non-volatile memory to detect data errors across virtual volumes.

A card computing device restores transactional memory using pre-calculated checksums stored in a buffer.

Memory manager detects NVRAM corruption and restores data from a dedicated spare store to maintain system boot functionality.

Controller multiplexes error checking content onto existing data pins, eliminating additional pin requirements for volatile memory reliability.

A RAID rebuilding method uses a mapping table to identify used storage blocks for targeted reconstruction.

Segmented HREADY signals decouple memory access from error checks, reducing cycle time by 66% on 65 nm CMOS nodes.

A redundant error checking circuit compares parallel outputs to verify detection logic integrity during normal memory operations.

Segmenting telegram end portions into check value and characterizing sections enables precise error source localization without compromising transmission speed.

A RAID rebuilding method builds spare logic units from distributed storage pool capacity to reconstruct failed disks.

Logical slices in a storage array apply distinct RAID protection levels, resolving the trade-off between data access performance and redundancy.