SSD Interval Throttling Module for IOPS Stability
Find Innovative SolutionsGenerate Solutions
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
A throttling module is implemented in the SSD to monitor and control the request queue, dynamically adjusting the interval between requests based on the queue depth, ensuring a minimum target interval to stabilize performance by delaying actions on requests when the actual interval is less than the target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the SSD processes requests as quickly as possible without throttling, then productivity is improved, but performance stability deteriorates due to IOPS and response time variations
Solution Approach 1:
The patent implements periodic action by introducing a target interval between consecutive request completions. The interval throttling module enforces this periodic timing to regulate the SSD's request processing rate, ensuring that requests are completed at consistent intervals rather than as quickly as possible. This periodic control stabilizes IOPS and response times while maintaining acceptable productivity levels.
Solution Approach 2:
The patent applies feedback control by continuously monitoring the actual interval between request completions and comparing it to the target interval. When the actual interval deviates from the target, the system adjusts the timing of subsequent request completions to maintain the desired interval. This closed-loop feedback mechanism ensures performance stability while managing productivity.
2Productivity
If the SSD processes requests quickly without interval control, then productivity is improved, but performance consistency deteriorates
Solution Approach 1:
The interval throttling module enforces periodic action by establishing a target interval between request completions. This periodic timing control ensures that requests are processed at consistent intervals, improving performance consistency while maintaining steady productivity levels through regulated request completion rates.
Solution Approach 2:
The system dynamically adjusts the timing of request completions based on real-time monitoring of actual intervals. The interval throttling module modifies the processing schedule dynamically to maintain the target interval, allowing the system to adapt to varying workloads while preserving performance consistency and steady productivity.
3Speed
If the SSD operates without throttling, then speed is improved, but reliability deteriorates due to performance variations
Solution Approach 1:
The patent implements periodic action by enforcing a target interval between request completions through the interval throttling module. This periodic control regulates the SSD's processing speed to match the target interval, ensuring both speed control and performance predictability. The consistent timing makes the SSD's behavior reliable and predictable while maintaining acceptable processing speeds.
Solution Approach 2:
The system uses feedback control to monitor actual request completion intervals and adjust processing timing accordingly. When deviations from the target interval occur, the feedback mechanism corrects the timing to maintain the desired interval, ensuring both speed control and reliable, predictable performance under various workload conditions.
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 queue depth for the request queue, determining a target interval based on the queue depth and a target queue depth, and responsive to the actual time interval being less than the target interval, delaying acting on the second request until after the target interval.


