Direct-Mapped Flash Storage Wear Leveling
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Solution Overview
Problem
Traditional storage systems face inefficiencies in data management and redundancy, leading to increased latency and reduced reliability due to unnecessary write operations and inadequate wear leveling on flash storage devices.
Innovation Solution
Implementing a direct-mapped flash storage system where the operating system initiates and controls processes, such as data allocation and garbage collection, without involving lower-level storage controllers, and utilizing non-volatile RAM as a buffer to improve write performance and manage flash memory effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional storage controllers manage flash storage operations, then data redundancy and reliability are maintained, but write performance deteriorates due to unnecessary write operations and latency
Solution Approach 1:
The patent extracts the flash storage management functions from the traditional storage controller and places them directly in the operating system. The OS initiates and controls processes such as data allocation, garbage collection, and wear leveling without involving lower-level storage controllers, thereby eliminating unnecessary write operations and improving write performance while maintaining data reliability through direct OS control
Solution Approach 2:
The patent introduces non-volatile RAM as an intermediary buffer between the OS and flash storage devices. This NV RAM buffer absorbs write operations, improves write performance by reducing direct flash writes, and maintains data reliability by properly managing data transfer and redundancy operations through the buffer
2Duration of action of stationary object
If traditional storage systems perform wear leveling, then flash memory lifespan is extended, but write operations increase causing higher latency
Solution Approach 1:
The patent implements self-service wear leveling where the operating system directly manages flash storage wear distribution without requiring additional write operations from storage controllers. The OS controls data allocation and garbage collection processes to evenly distribute wear across flash memory blocks, extending lifespan while minimizing latency by eliminating redundant controller-mediated write operations
Solution Approach 2:
The patent performs preliminary wear leveling actions through the OS before data is actually written to flash storage. By pre-establishing data allocation strategies and garbage collection schedules at the OS level, the system prepares wear distribution patterns in advance, reducing the need for additional wear-leveling write operations during actual data writes and thereby reducing latency
3Ease of operation
If storage controllers manage data allocation and garbage collection, then data management is maintained, but system complexity and latency increase
Solution Approach 1:
The patent extracts data management functions (data allocation, garbage collection) from the storage controller layer and consolidates them in the operating system. This reduces storage system complexity by eliminating the need for specialized storage controllers to manage these functions, while improving data management efficiency through direct OS control that reduces latency and unnecessary operations
Solution Approach 2:
The patent makes the operating system universal by having it perform multiple functions including data allocation, garbage collection, wear leveling, and direct flash storage management. This multi-functionality approach reduces overall system complexity by consolidating management responsibilities in the OS rather than requiring separate specialized controllers for each function
Data Source
AI summary
Continuous value data redundancy, including: receiving, by a storage system, a dataset; determining, based on a data resiliency metric, an integer redundancy value for the dataset from among a plurality of redundancy values; and generating, based on the integer redundancy value for the dataset, data recovery information for the dataset, wherein the integer redundancy value for the dataset is different from at least one other integer redundancy value for another dataset stored within the storage system.