SSD Interval Throttling for Performance Stability
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Solution Overview
Problem
Solid state devices (SSDs) experience performance instabilities due to variations in input/output operations per second (IOPS) and response times, which affect their competitiveness and reliability, especially in busy or idle conditions.
Innovation Solution
Implementing an interval throttling module within the SSD that monitors the request queue and dynamically adjusts the target interval between requests based on the number of active memory dies, ensuring that the actual interval is maintained at or above a target value to control the number of active memory dies, thereby stabilizing SSD performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the SSD processes requests as quickly as possible, then the productivity is improved, but the performance stability deteriorates due to IOPS and response time variations
Solution Approach 1:
The patent applies dynamics by making the request processing interval adaptive rather than fixed. The controller dynamically adjusts the time interval between processing requests based on real-time monitoring of active memory dies, transitioning from a static high-speed processing mode to a dynamic mode that balances speed and stability according to system state.
Solution Approach 2:
The patent changes the parameter of request processing interval from a fixed value to a variable parameter that depends on the number of active memory dies. By monitoring the state of memory dies and adjusting the interval accordingly, the system maintains performance stability while preserving productivity under different operational conditions.
2Productivity
If the SSD increases the number of active memory dies to improve performance, then the productivity is improved, but the performance instability increases due to busier drive conditions
Solution Approach 1:
The patent implements feedback by continuously monitoring the number of active memory dies and using this information to adjust the request processing interval. This closed-loop control ensures that as the number of active dies increases, the interval is extended to prevent performance degradation, maintaining stable response times while preserving high IOPS capability.
Solution Approach 2:
The system dynamically adjusts its operating parameters based on the actual number of active memory dies. Rather than operating at fixed high speed regardless of load conditions, the controller adapts the processing interval in real-time, allowing the system to maintain both high productivity and stability across varying operational states.
3Reliability
If the SSD throttles the request processing speed to stabilize performance, then the reliability is improved, but the productivity decreases
Solution Approach 1:
The patent avoids static throttling by implementing dynamic interval adjustment. The request processing speed is not permanently reduced but is temporarily adjusted based on real-time system state. When memory die activity is high, the interval is extended to stabilize performance; when activity is low, the interval is reduced to maximize productivity, thus maintaining both reliability and high average performance.
Solution Approach 2:
Rather than applying a fixed throttling factor, the system dynamically changes the processing interval parameter based on the number of active memory dies. This allows the system to maintain high productivity on average while ensuring stability during high-load conditions, avoiding the permanent productivity loss associated with static throttling.
Data Source
AI summary
Improving performance in solid state devices (SSDs) by controlling or throttling the depth of the request queue. In one implementation, a method includes monitoring a request queue in a solid state device (an SSD), the request queue comprising a first request and a second request having an actual time interval therebetween, determining a number of active memory dies of the SSD, determining a target interval based on the number of active memory dies and a target number of active memory dies, and responsive to the actual time interval being less than the target interval, delaying acting on the second request until after the target interval.