Memory Controller Indexing for Map Data Organization
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Solution Overview
Problem
Current memory systems face inefficiencies in read and garbage collection operations due to random distribution of map data, leading to degraded performance and increased search times.
Innovation Solution
A memory system with a controller that establishes indexes for each map data set, allowing for efficient sorting and storage of map data into specific blocks, and periodically updates a location table to manage and optimize data locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If map data is stored randomly in memory blocks, then storage flexibility is improved, but read operation performance degrades and search times increase
Solution Approach 1:
The patent divides map data into multiple segments organized by LBA (Logical Block Address) ranges. Each index entry points to a specific segment location, allowing the system to segment the large address space into manageable chunks that can be efficiently located and accessed without searching the entire memory space.
Solution Approach 2:
The patent introduces an index dimension that maps logical block addresses to physical memory locations. Instead of directly searching through physical memory blocks, the system uses the index structure to translate logical addresses into physical locations, adding a dimensional layer that accelerates access operations.
2Speed
If map data is organized with indexes for each data set, then read operation performance is improved, but device complexity increases
Solution Approach 1:
The index structure serves multiple functions simultaneously: it acts as a lookup table for fast address translation, a sorting mechanism for organized storage, and a garbage collection guide for identifying valid versus invalid blocks. This multi-functionality reduces the need for separate management mechanisms.
Solution Approach 2:
The index is designed to be dynamically updated and regenerated. When garbage collection identifies valid blocks, the index automatically updates to reflect new valid block locations. This dynamic nature allows the system to adapt to changing data states without manual intervention or complex static structures.
3Ease of operation
If garbage collection is performed on randomly distributed map data, then memory management is simplified, but operation time and resource consumption increase
Solution Approach 1:
The index pre-organizes map data by LBA range and maintains sorted order of valid blocks. Before garbage collection needs to occur, the data is already segmented and indexed, allowing the garbage collection process to quickly identify valid blocks without performing a full memory scan. This preliminary organization significantly reduces garbage collection time.
4Loss of time
If map data is sorted and organized by index, then search time is reduced, but storage space requirements increase
Solution Approach 1:
The index structure uses variable-length encoding and selective indexing based on LBA ranges. Not all blocks require index entries - only those that are valid and need tracking. This local optimization ensures that index entries are created only where necessary, minimizing the storage overhead while maintaining search efficiency for actual data locations.
Data Source
AI summary
A memory system includes: a memory device suitable for storing target map data; and a controller suitable for controlling the memory device, wherein the controller includes: an address management component suitable for establishing a plurality of indexes, one index for each of a plurality of map data; and a processor suitable for: reading the target map data from the memory device; and storing the target map data into a target map block of the memory device, wherein the target map block is determined according to the indexes.