Data Relocation Threshold Selection for SSD Energy and Thermal Tradeoffs
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Solution Overview
Problem
Current data storage devices manage relocation operations based solely on performance metrics, leading to increased energy consumption and operating temperature, which negatively impacts overall performance and reliability.
Innovation Solution
A relocation management system that determines relocation methods based on operating temperature, performance thresholds, and energy thresholds, selecting between compaction and folding operations to optimize thermal management and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If relocation operations are performed based solely on performance metrics, then data transfer speed and operational efficiency are improved, but energy consumption increases and operating temperature rises
Solution Approach 1:
The patent changes the decision parameters for relocation operations from solely performance-based to multi-parameter including energy thresholds and temperature thresholds. The system dynamically adjusts relocation operation decisions by evaluating both performance metrics and energy consumption metrics, selecting between compaction and folding operations based on current energy and temperature conditions rather than performance alone.
2Productivity
If relocation operations are performed based solely on performance metrics, then operational efficiency is improved, but operating temperature increases
Solution Approach 1:
The patent introduces temperature thresholds as a new parameter for decision-making in relocation operations. The system evaluates operating temperature alongside performance metrics to determine whether to execute compaction or folding operations, thereby controlling thermal conditions while maintaining operational efficiency.
3Temperature
If energy consumption is reduced by decreasing the number of relocation operations, then thermal management is improved, but overall performance is negatively impacted
Solution Approach 1:
The patent implements a dynamic decision-making system that adapts relocation operation selection based on real-time energy and temperature conditions. Rather than statically reducing relocation operations, the system dynamically chooses between compaction and folding operations based on current energy thresholds and temperature thresholds, allowing optimization of both thermal management and performance under varying operating conditions.
4Use of energy by moving object
If compaction operation followed by folding operation is selected based on energy threshold, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The patent manages the increased complexity by introducing a structured multi-parameter evaluation framework. The system uses defined energy thresholds and temperature thresholds to systematically determine whether to select compaction, folding, or other relocation operations, transforming complex decision-making into a manageable parameter-based selection process.
Data Source
AI summary
A data storage device includes a relocation management system that determines whether to perform a relocation operation based on an operating temperature, performance metrics and/or energy metrics associated with the data storage device. The relocation management system uses the operating temperature to identify a performance threshold and an energy threshold. Each threshold indicates whether the relocation operation is a first relocation method or a second relocation method. If the validity count of a memory block included in the relocation operation is below each threshold, the first relocation method is selected. If the validity count of the memory block is above both thresholds, the second relocation method is selected. However, if the validity count of the memory block is in a tradeoff range, the relocation management system selects a relocation method based on a tradeoff between performance metrics and energy consumption metrics.