FIFO can be Better than LRU: the Power of Lazy Promotion and Quick Demotion

Juncheng Yang, Zimeng Qiu, Yazhuo Zhang, Yao Yue, K. V. Rashmi
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引用次数: 2

Abstract

LRU has been the basis of cache eviction algorithms for decades, with a plethora of innovations on improving LRU's miss ratio and throughput. While it is well-known that FIFO-based eviction algorithms provide significantly better throughput and scalability, they lag behind LRU on miss ratio, thus, cache efficiency. We performed a large-scale simulation study using 5307 block and web cache workloads collected in the past two decades. We find that contrary to what common wisdom suggests, some FIFO-based algorithms, such as FIFO-Reinsertion (or CLOCK), are, in fact, more efficient (have a lower miss ratio) than LRU. Moreover, we find that qick demotion --- evicting most new objects very quickly --- is critical for cache efficiency. We show that when enhanced by qick demotion, not only can state-of-the-art algorithms be more efficient, a simple FIFO-based algorithm can outperform five complex state-of-the-art in terms of miss ratio.
FIFO优于LRU:懒升快降的力量
几十年来,LRU一直是缓存取出算法的基础,在提高LRU的未命中率和吞吐量方面有大量的创新。虽然众所周知,基于fifo的退出算法提供了更好的吞吐量和可伸缩性,但它们在失分率上落后于LRU,因此,缓存效率。我们使用过去二十年收集的5307块和web缓存工作负载进行了大规模的模拟研究。我们发现,与常识相反,一些基于fifo的算法,如fifo - reinsert(或CLOCK),实际上比LRU更有效(有更低的缺失率)。此外,我们发现快速降级——非常快地驱逐大多数新对象——对缓存效率至关重要。我们表明,当通过快速降级增强时,最先进的算法不仅更有效,而且基于fifo的简单算法在缺失率方面优于五种复杂的最先进算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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