Memory Controller Scheduling Foreground Background Operations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing memory systems face challenges in maintaining stability and efficiency due to complexity and performance deterioration, particularly in managing foreground and background operations, which affects the overall utility and reliability of memory devices.
Innovation Solution
A memory system with a controller that prioritizes and schedules foreground and background operations based on importance, reliability, and weight calculations, allocating regions in the memory device to optimize data processing and minimize performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the memory system performs both foreground and background operations simultaneously, then data processing capability is improved, but system complexity and performance deterioration increase
Solution Approach 1:
The patent segments operations into foreground and background queues, with further subdivision into sub-queues based on operation types (program, read, erase). This segmentation allows independent management and scheduling of different operation types, improving data processing capability while maintaining system complexity through structured organization rather than uncontrolled simultaneous operations.
Solution Approach 2:
The patent implements dynamic weight adjustment for different queues based on operation characteristics, memory block states, and system conditions. The controller dynamically modifies queue weights and scheduling priorities rather than using fixed configurations, enabling adaptive optimization of data processing while managing complexity through flexible rather than rigid control mechanisms.
2Reliability
If the memory system uses complex priority and weight scheduling mechanisms, then operation reliability is improved, but system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where the controller continuously monitors memory block states (valid page counts, erase counts, program counts) and adjusts queue weights and scheduling decisions accordingly. This feedback-driven approach improves operation reliability by adapting to actual system conditions while managing complexity through automated rather than manual adjustment processes.
Solution Approach 2:
The patent changes scheduling parameters (weights, priorities, thresholds) based on operational needs and memory device states. By dynamically adjusting these parameters rather than using fixed values, the system achieves high operation reliability across varying conditions while the parameter-based control framework maintains manageable complexity through systematic rather than ad-hoc adjustments.
3Productivity
If the controller allocates more memory regions for operation queues, then operation performance is improved, but memory device utility efficiency deteriorates
Solution Approach 1:
The patent dynamically allocates memory regions for operation queues based on current workload, queue weights, and memory availability. Rather than reserving fixed large regions, the system adjusts allocation in real-time, improving operation performance when needed while maximizing memory device utility efficiency by utilizing available space flexibly rather than leaving it idle due to over-provisioning.
Solution Approach 2:
The patent modifies memory allocation parameters (region sizes, starting addresses, capacity) based on operational requirements and device state. This parameter-based dynamic allocation allows the system to optimize operation performance by increasing allocation when workload demands it, while maintaining high memory utility efficiency by reducing allocation when demands are lower, thus adapting to varying conditions rather than operating at fixed suboptimal points.
Data Source
AI summary
A memory system includes: a memory device that includes a plurality of memory blocks each of which includes a plurality of pages for storing data; and a controller that includes a first memory, wherein the controller performs a foreground operation and a background operation onto the memory blocks, checks priorities and weights for the foreground operation and the background operation, schedules queues corresponding to the foreground operation and the background operation based on the priorities and the weights, allocates regions corresponding to the scheduled queues to the first memory, and performs the foreground operation and the background operation through the regions allocated to the first memory.