Memory Controller Dynamic Background Operation Adjustment
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Solution Overview
Problem
Existing memory systems face inefficiencies in managing background operations, such as garbage collection and wear leveling, which affect performance and data retention, particularly due to the lack of adaptive control mechanisms that adjust operations based on data throughput and error checks.
Innovation Solution
A controller that calculates a wear acceleration index (WAI) level based on data received from a host and data written to the storage device, adjusting the operating ratio of background operations accordingly to optimize performance and prevent data degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If background operations are performed frequently to maintain memory system health, then data retention and reliability improve, but system performance and productivity deteriorate due to unnecessary operations
Solution Approach 1:
The patent changes the parameter of background operation frequency from fixed to dynamic, adjusting it based on the calculated WAI level. When WAI is high (indicating high wear acceleration), background operations are performed more frequently. When WAI is low, operations are reduced or suspended. This resolves the contradiction by adapting operation frequency to actual memory condition rather than using a fixed schedule.
Solution Approach 2:
The patent implements a feedback mechanism where the controller calculates WAI based on data received from the host and data written to the storage device, then uses this calculated value to determine background operation frequency. This closed-loop feedback system ensures background operations are performed only when needed, improving reliability without unnecessarily impacting performance.
2Productivity
If adaptive control mechanisms are implemented to adjust background operations based on data throughput, then system efficiency improves, but device complexity increases
Solution Approach 1:
The controller performs self-service by autonomously calculating the WAI level based on data throughput measurements and automatically adjusting background operation frequency without external intervention. This self-service approach improves system efficiency through adaptive control while limiting complexity growth by using straightforward calculation logic rather than complex algorithms.
Solution Approach 2:
The patent changes the operational parameter from static background operation scheduling to dynamic adjustment based on WAI calculations. The complexity introduced is minimal, focusing only on the essential calculation of data throughput and the corresponding adjustment of operation frequency, avoiding unnecessary complexity while achieving adaptive efficiency.
3Productivity
If background operations are reduced to improve performance, then productivity improves, but reliability deteriorates due to insufficient wear leveling and garbage collection
Solution Approach 1:
The patent applies dynamics by making background operation frequency variable rather than fixed. The operation frequency dynamically responds to WAI level changes, increasing when wear acceleration is high and decreasing when it is low. This dynamic adjustment ensures reliability is maintained during high-stress periods while allowing performance optimization during low-stress periods.
Solution Approach 2:
The feedback mechanism ensures reliability is not compromised by continuously monitoring data throughput and WAI level, then adjusting background operation frequency accordingly. When the calculation indicates high wear acceleration, the system automatically increases background operations to maintain reliability, preventing the degradation that would occur with permanently reduced operation frequency.
Data Source
AI summary
There are provided a controller and a memory system having the same. The controller includes: a background operation manager configured to determine a background operation level according to an amount of first data received from a host and an amount of second data generated in a randomization operation and an error check operation of the first data, and output a background operation signal according to the background operation level, and a processor configured to output a background command set by adjusting an operating ratio of a background operation according to the background operation signal.