AI-Driven Suspend Parameter Control for Storage Power and Latency

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Solution Overview

Problem

Existing storage devices face challenges in balancing user performance requirements with power consumption optimization, particularly when frequent suspend operations for program or erase operations lead to increased power consumption.

Innovation Solution

A suspend parameter determination device and method utilizing an artificial intelligence model to monitor power consumption and performance information, determining optimal suspend parameters to control program and erase operations, thereby optimizing power usage while maintaining performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If the storage device suspends program or erase operations frequently to ensure low latency for read operations, then read performance is improved, but power consumption increases

Engineering Contradiction:
Improveread latencyVSAvoidpower consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic suspend parameter adjustment based on real-time monitoring of program/erase operation states and read operation requirements. The control circuit dynamically modifies suspend parameters (such as suspend time, suspend count, or suspend probability) according to the current operational context, allowing the system to adapt between prioritizing read performance or power savings depending on workload conditions

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes operational parameters by using an artificial intelligence model to determine optimal suspend parameters. The AI model analyzes multiple factors including operation progress, queue depth, and power consumption trends to output adjusted suspend parameters that balance read latency requirements with power consumption optimization, moving beyond fixed threshold-based suspend decisions

Inventive Principle:
Principle #35Parameter changes

2Use of energy by moving object

If the storage device allows program or erase operations to complete without suspension, then power consumption is reduced, but read operation latency increases

Engineering Contradiction:
Improvepower consumptionVSAvoidread latency
Core Design Contradiction:
Use of energy by moving objectVSSpeed

Solution Approach 1:

The patent implements a feedback mechanism where the control circuit continuously monitors the execution state of program/erase operations and the power consumption levels. This feedback information is fed into the AI model, which adjusts suspend parameters in real-time based on the current system state, ensuring that suspend operations are triggered at optimal moments to maintain read performance while minimizing power consumption

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by having the AI model predict optimal suspend timing before read operations become critical. The system proactively adjusts suspend parameters based on anticipated read workload patterns and current operation progress, preparing the system in advance to meet read latency requirements without excessive power consumption when reads are actually needed

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12455696B2Suspend parameter determination device and method thereof
Publication Date: 2025.10.28 SK HYNIX INC
  • US12455696B2 patent drawing
  • US12455696B2 patent drawing
  • US12455696B2 patent drawing

AI summary

A suspend parameter determination device may include a power monitoring circuit configured to monitor power consumption information of a storage device; a memory device configured to store an artificial intelligence model; and a control circuit configured to load the artificial intelligence model, input to the artificial intelligence model, performance information for the storage device and the power consumption information received from the power monitoring circuit, and transmit, to the storage device, a suspend parameter outputted by the artificial intelligence model.