AI Storage Monitoring with Telemetry-Based Flash Write Reduction

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Solution Overview

Problem

Existing storage systems face inefficiencies in managing and optimizing flash storage devices, leading to increased latency and reduced reliability due to unnecessary write operations and lack of centralized control over storage processes.

Innovation Solution

Implementing a direct-mapped flash storage system where higher-level processes initiate and control operations without involving lower-level storage controllers, utilizing non-volatile RAM for buffering and managing storage devices to optimize performance and reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If lower-level storage controllers are involved in storage operations, then device control and management are distributed, but system latency increases and reliability reduces due to unnecessary write operations

Engineering Contradiction:
Improveflash storage reliabilityVSAvoidstorage control structure
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts the storage control functionality from lower-level storage controllers and consolidates it into a single higher-level storage controller. This removes the distributed control structure that caused unnecessary write operations and reliability issues, while maintaining the benefit of having control logic centralized in a dedicated component.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent merges multiple storage control functions into a single higher-level storage controller that manages all flash storage devices. This consolidation eliminates the need for separate control logic in each device, reducing redundant operations and improving overall system reliability while maintaining manageable complexity through unified control.

Inventive Principle:
Principle #5Merging (Combining)

2Productivity

If higher-level processes directly initiate storage operations without lower-level controllers, then write operations are reduced and reliability enhances, but control complexity increases

Engineering Contradiction:
Improvestorage operation efficiencyVSAvoidcentralized control system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a higher-level storage controller as an intermediary between the host system and flash storage devices. This mediator consolidates control logic and manages all storage operations centrally, reducing redundant write operations and improving efficiency while keeping the complexity contained within a single dedicated component rather than distributing it across multiple devices.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Speed

If non-volatile RAM is used for buffering, then storage performance improves, but memory management complexity increases

Engineering Contradiction:
Improvestorage access speedVSAvoidbuffer management system
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent implements a buffer management system where the higher-level storage controller automatically manages the non-volatile RAM buffer without requiring external intervention. The system self-regulates buffer allocation, data placement, and retrieval operations, improving storage access speed while containing management complexity within the centralized controller that already handles storage logic.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250383796A1Monitoring And Configuring Storage Systems Using Generative Artificial Intelligence (AI)
Publication Date: 2025.12.18 PURE STORAGE INC
  • US20250383796A1 patent drawing
  • US20250383796A1 patent drawing
  • US20250383796A1 patent drawing

AI summary

Monitoring and configuring storage systems using generative AI, including: receiving, from a user, a request associated with a storage system directed to a generative artificial intelligence (AI) model; accessing, in response to the request, telemetry data generated by the storage system; and generating, using the generative AI model and based on the telemetry data, a response to the request