Memory Reclaim Subgroup Reordering for Stable Host IOPS
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Solution Overview
Problem
Existing memory systems face inefficiencies in garbage collection due to non-uniform distribution of valid data, leading to increased spare memory space requirements, reduced bandwidth, and instability in host Input/Output Operations Per Second (IOPS) performance.
Innovation Solution
The solution involves reordering reclaim sub-groups within a memory device to evenly distribute valid data, minimizing spare memory space requirements and stabilizing host IOPS by ensuring uniform bandwidth consumption during garbage collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If valid data is clumped together in reclaim groups during garbage collection, then the garbage collection process can be simplified, but spare memory space requirements increase and host IOPS performance becomes unstable
Solution Approach 1:
The patent divides reclaim groups into multiple reclaim sub-groups and processes them in an interleaved manner rather than as a single clumped unit. This segmentation allows valid data to be distributed across different physical locations in the memory device, reducing the concentration of valid data in any single area and thereby reducing spare memory space requirements during garbage collection.
Solution Approach 2:
The patent implements dynamic reordering of reclaim sub-groups based on the distribution of valid data. The system adjusts the processing sequence of reclaim sub-groups adaptively, switching between different reordering strategies depending on the validity distribution pattern detected, which optimizes both spare memory space usage and host IOPS stability.
2Device complexity
If valid data is clumped together in reclaim groups, then garbage collection can be performed more simply, but bandwidth is reduced and host IOPS performance deteriorates
Solution Approach 1:
By segmenting reclaim groups into multiple sub-groups and processing them interleaved, the system maintains multiple data streams during garbage collection. This prevents bandwidth bottlenecks that would occur with clumped processing, thereby maintaining higher host IOPS performance while keeping the garbage collection process manageable through systematic organization.
Solution Approach 2:
The patent employs periodic switching between different reclaim sub-groups during garbage collection processing. This periodic action ensures that bandwidth is distributed evenly across different data regions, preventing any single region from becoming a bottleneck and thereby maintaining stable host IOPS performance throughout the garbage collection process.
3Quantity of substance
If valid data is not evenly distributed in reclaim groups, then less spare memory space is needed, but garbage collection becomes more complex and harder to manage
Solution Approach 1:
The system dynamically detects the validity distribution pattern in reclaim groups and adaptively selects reordering strategies. When valid data is found to be non-uniformly distributed, the system applies appropriate reordering algorithms to optimize processing, thereby managing the increased complexity through intelligent, condition-based control rather than fixed complex procedures.
Solution Approach 2:
The patent implements feedback mechanisms that monitor the distribution of valid data during garbage collection operations. Based on this feedback, the system adjusts the processing order of reclaim sub-groups in real-time, optimizing both spare memory space usage and process manageability by responding to actual data conditions rather than following predetermined complex sequences.
4Device complexity
If valid data is clumped in reclaim groups, then initial garbage collection setup is simpler, but bandwidth consumption becomes non-uniform and system performance destabilizes
Solution Approach 1:
The patent segments reclaim groups into multiple sub-groups that are processed in an interleaved fashion. This segmentation inherently distributes bandwidth consumption across multiple data regions, preventing the non-uniform bandwidth patterns that arise from clumped processing, while maintaining relatively simple setup through systematic organization of the segments.
Data Source
AI summary
A method and controller for operating a memory system in communication with a host. The method and controller logically arrange a sequence of reclaim sub-groups within a memory device. The method and controller process the reclaim sub-groups according to the sequence to control the memory device to perform garbage collection on the reclaim sub-groups in the memory device. In the sequence, the reclaim sub-groups are processed during the garbage collection such that at least one re-ordered data sequence in the sequence of the reclaim sub-groups being processed has re-ordered valid data that is not clumped.