Storage System Cache Management via Dual Replacement Lists
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Solution Overview
Problem
Current storage systems face inefficiencies in cache management, particularly in reducing the promotion counts of data from storage devices to caches and improving cache hit rates, especially in scenarios with burst access to infrequently used data or cyclic access patterns.
Innovation Solution
A method and device for managing a storage system that involves determining the storage position of target data, identifying elements from replacement lists based on access counts and frequencies, and updating their positions to prioritize high-frequency accessed cache pages, thereby reducing unnecessary data promotion and enhancing cache utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cache replacement policies are used, then cache management is simple, but the hit rate is low and promotion counts are high
Solution Approach 1:
The replacement list is segmented into multiple sub-lists (first replacement list for data in storage device, second replacement list for cache pages) with different management strategies. Each sub-list tracks specific metrics (access counts for storage device data, access frequencies for cache pages) enabling differentiated replacement decisions that improve hit rate without overwhelming complexity
Solution Approach 2:
The cache management system dynamically adjusts replacement priorities based on real-time access patterns. Elements are promoted from first to second replacement list when accessed, and positions within lists are dynamically updated based on access frequency, creating an adaptive system that improves hit rate while maintaining manageable complexity through automated dynamic adjustment
2Reliability
If data is frequently promoted from storage device to cache, then cache hit rate increases, but promotion counts increase and system efficiency decreases
Solution Approach 1:
The system performs preliminary actions by pre-tracking access counts for data in the storage device before promotion occurs. The first replacement list maintains counting elements that record access frequencies in advance, allowing the system to predict which data is likely to be accessed and prioritize its promotion only when beneficial, reducing unnecessary promotions while maintaining high hit rate
Solution Approach 2:
The system implements feedback mechanisms where access patterns are continuously monitored and used to adjust replacement decisions. The replacement lists provide feedback about which data elements are being accessed frequently, enabling the system to learn from past access patterns and make informed promotion decisions that maximize hit rate while minimizing unnecessary data movement
Data Source
AI summary
Techniques manage a storage system. In accordance with such techniques, an access request for target data is received; a storage position of the target data is determined, the storage position indicating one of a storage device and a cache; a target element corresponding to the target data is determined from a first replacement list and a second replacement list associated with the first replacement list based on the storage position, the first replacement list including at least a counting element, the counting element indicating an access count of data in the storage device, the second replacement list including a low-frequency access element, the low-frequency access element indicating a cache page with a low access frequency in the cache; and a position of the target element in a replacement list where the target element exist is updated. Therefore, the overall performance of the storage system can be improved.