首页> 外国专利> SELECTING ONE OF MULTIPLE CACHE EVICTION ALGORITHMS TO USE TO EVICT A TRACK FROM THE CACHE BY TRAINING A MACHINE LEARNING MODULE

SELECTING ONE OF MULTIPLE CACHE EVICTION ALGORITHMS TO USE TO EVICT A TRACK FROM THE CACHE BY TRAINING A MACHINE LEARNING MODULE

机译:通过训练机器学习模块,选择多种缓存更新算法之一来从缓存中迁移

摘要

Provided are a computer program product, system, and method for using a machine learning module to select one of multiple cache eviction algorithms to use to evict a track from the cache. A first cache eviction algorithm determines tracks to evict from the cache. A second cache eviction algorithm determines tracks to evict from the cache, wherein the first and second cache eviction algorithms use different eviction schemes. At least one machine learning module is executed to produce output indicating one of the first cache eviction algorithm and the second cache eviction algorithm to use to select a track to evict from the cache. A track is evicted that is selected by one of the first and second cache eviction algorithms indicated in the output from the at least one machine learning module.
机译:提供了一种计算机程序产品,系统和方法,用于使用机器学习模块来选择多个高速缓存逐出算法中的一种以用于从高速缓存中逐出轨道。第一高速缓存逐出算法确定要从高速缓存逐出的轨道。第二高速缓存逐出算法确定要从高速缓存逐出的轨道,其中第一和第二高速缓存逐出算法使用不同的逐出方案。执行至少一个机器学习模块以产生指示第一高速缓存逐出算法和第二高速缓存逐出算法之一的输出,该输出用于选择从高速缓存逐出的轨道。逐出由至少一个机器学习模块的输出中指示的第一和第二缓存逐出算法之一选择的轨道。

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