Direct-Mapped Flash Storage With Generative AI Interfaces

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing storage systems face challenges in efficiently managing and optimizing data storage across multiple flash drives, leading to issues with performance, reliability, and lifespan of flash memory.

Innovation Solution

The implementation of a direct-mapped flash storage system that addresses data blocks within flash drives directly, without address translation by storage controllers, and utilizes generative artificial intelligence (AI) for dynamic user interfaces in storage system management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If storage controllers perform address translation for flash drives, then data management flexibility is improved, but write operations increase and flash memory lifespan deteriorates

Engineering Contradiction:
Improvedata management flexibilityVSAvoidflash memory lifespan
Core Design Contradiction:
Adaptability or versatilityVSDuration of action of stationary object

Solution Approach 1:

The patent extracts the address translation function from the storage controller and implements direct mapping where data blocks are written directly to flash drives without controller-mediated address translation. This eliminates unnecessary write operations through the controller, reducing wear on flash memory while maintaining data management capabilities through the direct mapping scheme.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces a direct mapping mechanism that acts as an intermediary between the host system and flash drives, establishing direct block mappings without requiring controller-mediated address translation. This intermediary layer enables direct writes to flash memory, reducing the number of write operations and extending flash memory lifespan.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If storage controllers manage data blocks across multiple flash drives, then data distribution is improved, but system complexity increases

Engineering Contradiction:
Improvedata distribution efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the storage system into direct mapping layers where data blocks are directly mapped to specific flash drives without complex controller mediation. This segmentation simplifies the system architecture by eliminating the need for sophisticated address translation logic in the controller, reducing system complexity while maintaining effective data distribution across multiple flash drives.

Inventive Principle:
Principle #1Segmentation

3Reliability

If wear leveling is implemented across flash drives, then reliability is improved, but write operations increase

Engineering Contradiction:
Improvestorage system reliabilityVSAvoidflash memory wear
Core Design Contradiction:
ReliabilityVSLoss of substance

Solution Approach 1:

The patent implements preliminary wear leveling by establishing direct mappings that proactively distribute write operations across multiple flash drives before wear becomes critical. This preliminary action prevents any single flash drive from experiencing excessive wear, improving reliability while minimizing the total number of write operations needed compared to reactive wear leveling approaches.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250156122A1Dynamic User Interfaces For Storage System Management Using Generative Artificial Intelligence (AI)
Publication Date: 2025.05.15 PURE STORAGE INC
  • US20250156122A1 patent drawing
  • US20250156122A1 patent drawing
  • US20250156122A1 patent drawing

AI summary

Dynamic user interfaces for storage system management using generative artificial intelligence (AI), including: receiving a natural language request via a natural language interface of a graphical user interface (GUI) for a storage system; generating, by a generative AI model and based on the natural language request, one or more GUI components for presenting information associated with the natural language request; and presenting, via the GUI for the storage system, the one or more GUI components.