Research on Optimization of Adaptive Cache Replacement Algorithm Strategy

Cache replacement algorithm are a research issue in the fields of e-commerce, short video, edge computing,other highly concurrent systems. The efficiency of cache hits directly impacts the response speed of the system to a certain extent. This article conducts research on classic cache replacement algorithms, including Recently Frequent Access, Least Recently Used, Least Frequently Used Window, Weighted Replacement, Adaptive Cache Replacement, and Window-Based Least Recently Used. Based on the theories of these classic algorithms, this paper proposes an optimization strategy that relies adaptive cache replacement algorithm and a weight replacement algorithm. This article analyzes the similarities and advantages of various algorithms, conducts experiments on cache replacement algorithms using open-source e-commerce datasets, and reports on their performance. Finally, future research directions in this field are discussed.