Interlaced Recording Zone Management for Cold Data Storage
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Solution Overview
Problem
Existing data storage devices face performance degradation when migrating cold data from conventional recording (CR) zones to interleaved recording (IR) zones, as this requires reading and rewriting data, which is inefficient and degrades disk drive performance.
Innovation Solution
Implementing a dynamic zone management system that identifies and reassigns data based on write intervals and frequency, allowing new data to be written to IR zones as cold data, and relocating frequently rewritten data to hot zones, thereby avoiding unnecessary read-modify-write operations and reducing intertrack interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cold data is migrated from conventional recording zones to interleaved recording zones, then data storage capacity is optimized, but disk drive performance degrades due to read-modify-write operations
Solution Approach 1:
The system performs preliminary classification of data as cold or hot based on write interval thresholds before migration occurs. Cold data is identified when the write interval exceeds a predetermined threshold, allowing the system to prepare and execute migration only for appropriate candidates, avoiding unnecessary read-modify-write operations and performance degradation
Solution Approach 2:
The system applies different recording modes to different zones based on data characteristics: conventional recording (CR) for hot data requiring frequent updates, and interleaved recording (IR) for cold data where capacity optimization is prioritized. This localized approach ensures each zone operates in its optimal mode without compromising overall system performance
2Quantity of substance
If interleaved recording zones are used for cold data storage, then storage capacity increases, but intertrack interference occurs during write operations
Solution Approach 1:
The system extracts cold data from interleaved recording zones once it is identified through the write interval threshold mechanism. By removing data that has become cold from the IR zone, the system eliminates the source of intertrack interference during write operations while preserving the capacity benefits for genuinely cold data
Solution Approach 2:
The system dynamically changes the operational parameters of IR zones based on data characteristics. When cold data is detected via write interval monitoring, the system adjusts the zone's state to prevent intertrack interference, effectively changing the physical or operational parameters of the recording zone to match the data's access pattern
3Loss of information
If data is frequently rewritten in interleaved recording zones, then data freshness is maintained, but performance degradation occurs due to read-modify-write operations
Solution Approach 1:
The system dynamically monitors write intervals for each data block and automatically reclassifies data from cold to hot when the write interval falls below the threshold. This dynamic adaptation allows the system to maintain data freshness for frequently rewritten data by keeping it in CR zones where write operations are efficient, while preserving capacity optimization for stable cold data in IR zones
Data Source
AI summary
A data storage device is disclosed comprising a head actuated over a disk comprising a plurality of tracks. A plurality of interlaced recording (IR) zones are defined on the disk, wherein each IR zone comprises a plurality of top tracks partially overlapping a plurality of bottom tracks. First data is written to the bottom tracks of a first IR zone, and the first IR zone is identified as a cold IR zone that is storing cold data. In response to identifying the first IR zone as a cold IR zone, second data is written to the top tracks of the first IR zone.