Cache Linked-List Indexing for Faster Replacement Policy Management
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Solution Overview
Problem
The existing cache data processing methods, particularly those using binary tree methods, suffer from low processing efficiency due to inefficient cache file replacement policies, leading to suboptimal cache data management.
Innovation Solution
A cache data processing system that utilizes a cache data linked list to determine preceding and following target data based on access information and a cache file replacement policy, generating a target key-value pair to manage cache data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If binary tree method is used to record cache file replacement policy, then cache replacement policy can be implemented, but processing efficiency is low
Solution Approach 1:
The cache management system is segmented into multiple independent linked lists, each dedicated to a specific replacement policy (LRU, FIFO, LFU). This segmentation allows each list to operate independently with optimized data structures, improving processing efficiency while maintaining clear organizational boundaries that reduce overall system complexity.
Solution Approach 2:
The cache management apparatus provides universal support for multiple replacement policies through a unified linked list structure. The same basic data structure and operation interface can handle LRU, FIFO, and LFU policies, reducing the need for separate complex implementations for each policy while maintaining high processing efficiency.
2Productivity
If cache space is limited, then cache memory size is constrained, but cache data management becomes more difficult
Solution Approach 1:
The linked list structures automatically manage cache data organization and replacement decisions without requiring complex external control logic. Each linked list self-manages its own data placement and eviction based on the associated replacement policy, simplifying the overall management process while maintaining high reading performance through efficient data access patterns.
Data Source
AI summary
The present application provides a cache data processing method, system, apparatus, and device, and a computer storage medium. The method includes: obtaining access information of cache data; determining, based on the access information and a cache file replacement policy, preceding target data and following target data of the cache data in a cache data linked list, where the cache data linked list is configured for recording data that matches the cache file replacement policy; and generating, based on the preceding target data and the following target data, a target key-value pair of the cache data, and storing the target key-value pair, to perform cache management on the cache data based on the target key-value pair.