Dynamic Write Execution Time Control for Storage Endurance
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Solution Overview
Problem
Conventional storage devices face challenges in dynamically adjusting write operation execution times to balance endurance and throughput, often resulting in either excessive wear during high demand or inefficient performance during low demand periods.
Innovation Solution
A method and system that dynamically control write operation execution times in storage devices by adjusting parameters such as voltage levels, pulse durations, and the number of pulses based on workload indicators like host demand and resource utilization, allowing for adaptive performance to match changing demand conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If write operation execution time is reduced to improve throughput, then productivity increases, but device endurance deteriorates due to excessive wear
Solution Approach 1:
The patent implements dynamic adjustment of write operation execution time based on real-time workload conditions. The controller monitors workload indicators and adapts the execution time parameter, transitioning from static to dynamic control. This allows the system to optimize between throughput and endurance by matching write speed to actual demand conditions.
Solution Approach 2:
The patent changes the execution time parameter of write operations based on workload indicators. By adjusting this critical parameter dynamically, the system can slow down writes during low-demand periods to reduce wear and speed up during high-demand periods to maintain throughput, directly resolving the contradiction between productivity and reliability.
2Reliability
If write operation execution time is increased to reduce wear, then device endurance improves, but productivity decreases due to slower throughput
Solution Approach 1:
The system dynamically adjusts write execution time based on workload conditions rather than using a fixed value. During low-workload periods, execution time is increased to reduce wear and improve endurance. During high-workload periods, execution time is decreased to maintain throughput, thus resolving the contradiction through adaptive behavior.
Solution Approach 2:
The execution time parameter is modified based on workload indicators to balance endurance and throughput. When workload is low, the parameter is adjusted to allow slower writes that reduce wear. When workload is high, the parameter is adjusted to enable faster writes that maintain productivity, effectively managing the trade-off between reliability and productivity.
3Device complexity
If static write execution time is used to simplify control, then device complexity is reduced, but adaptability decreases unable to respond to changing workload conditions
Solution Approach 1:
The patent transitions from static to dynamic control of write execution time. The controller continuously monitors workload indicators and adjusts the execution time parameter in real-time, enabling the system to adapt to changing conditions while maintaining manageable complexity through automated feedback control.
Solution Approach 2:
The system implements feedback control by monitoring workload indicators and using this information to adjust write execution time. This closed-loop approach enables adaptability to changing workload conditions while keeping control complexity manageable through automated decision-making based on measured parameters.
Data Source
AI summary
In general, this disclosure is directed to techniques for adjusting the timing of operations for a storage device. According to one aspect of the disclosure, a method includes receiving, with at least one device, a workload indicator. The method further includes adjusting, with the at least one device, an operation execution time for the storage device responsive to at least the workload indicator. In some examples, the workload indicator may include a host demand indicator. In additional examples, the workload indicator may include a resource utilization indicator. In further examples, the operation execution time may be one of a write operation execution time or a read operation execution time.