earticle

영어

The concept of caching is a fundamental feature in modern computing architectures and, has no doubt, found wide applications in diverse areas. Performance evaluation of systems is functionally related to how caching is implemented on a given computing platform, a metric influenced by the cache replacement policy. This paper describes an online learning-induced, self-adjusting cache management strategy with low overhead and scan-resistant characteristics that outperforms the LRU replacement algorithm using adaptation to balance between workload frequency and recency patterns.