Memory Controller Block Merge and Data Migration
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Solution Overview
Problem
Current storage devices face inefficiencies in managing buffer areas, particularly in performing block merge and data migration operations, which affect overall performance and storage efficiency.
Innovation Solution
A memory controller is introduced that performs block merge operations by transferring data from a victim block to a target block and migrates data from one storage area to another, utilizing an idle period predictor and block information manager to optimize these processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If block merge operation is performed to transfer data from victim block to target block, then storage efficiency is improved, but operation time and complexity increase
Solution Approach 1:
The system performs block merge operations during predicted idle periods before they are needed, proactively consolidating data from victim blocks to target blocks. This preliminary action ensures storage efficiency is maintained while utilizing otherwise wasted time periods, reducing the impact on operational time.
Solution Approach 2:
The idle period predictor continuously monitors system activity and provides feedback about upcoming idle periods. This feedback enables the controller to dynamically schedule block merge operations at optimal times, balancing storage efficiency improvements with minimal disruption to normal operations.
2Reliability
If data migration operation is performed to copy data from first storage area to second storage area, then buffer area management is enhanced, but operation complexity and time increase
Solution Approach 1:
The system performs data migration operations autonomously during predicted idle periods without requiring external intervention or complex coordination. The controller automatically identifies when to migrate data between storage areas, simplifying the overall system architecture while improving buffer management.
Solution Approach 2:
Data migration operations are performed periodically during predicted idle periods rather than continuously or on-demand. This periodic approach reduces operational complexity by batching migrations into discrete events, making the system easier to manage while still achieving effective buffer area management.
3Reliability
If block merge and data migration operations are performed during active periods, then storage efficiency improves, but system performance deteriorates
Solution Approach 1:
The system extracts block merge and data migration operations from the active operational flow and relocates them to predicted idle periods. This separation ensures that maintenance operations improve storage efficiency without interfering with system performance during active periods.
Solution Approach 2:
By performing block merge and data migration operations preliminarily during idle periods, the system prepares the storage structure in advance, ensuring optimal storage efficiency is achieved before active operations begin, thus maintaining high system performance.
4Productivity
If idle period prediction is implemented to schedule operations, then operational efficiency improves, but device complexity increases
Solution Approach 1:
The idle period predictor is integrated into the existing memory controller, allowing the controller to perform both traditional memory management functions and idle period prediction. This multi-functionality approach improves operational efficiency without requiring a completely separate prediction system, thus limiting the increase in overall device complexity.
Data Source
AI summary
A memory controller may control a memory device including a first storage area and a second storage area. The memory controller may include: a memory operation controller and a block information manager. The memory operation controller may control the memory device to perform a block merge operation of programming data stored in a victim block among normal blocks of the first storage area to a target block among the normal blocks, and perform a data migration operation of copying data stored in blocks of the first storage area to blocks of the second storage area. The block information manager may store block map information indicating whether each of the blocks of the first storage area is a normal block or a merge block. The target block may be changed from a normal block to a merge block by the block merge operation.