最优缓存与LRU和LFU:比较和组合有限前瞻性策略

G. Haßlinger, Juho Heikkinen, K. Ntougias, Frank Hasslinger, O. Hohlfeld
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引用次数: 20

摘要

我们比较了基于最近最少使用(LRU)和最不频繁使用(LFU)替换原则的web缓存策略与根据Belady算法的最优缓存。结果表明,随着对请求模式知识的利用,策略的可实现命中率有所提高,同时计算量也在增加。结果给出了使用Zipf请求模式的web缓存在整个相关范围内的性能权衡的概述。在第二部分中,我们研究了与LRU、LFU或其他非预测方法相结合的有限前瞻性最优策略方法。我们通过模拟来评估命中率增益,这取决于请求跟踪和独立参考模型(IRM)的前瞻性程度,并得出对观察到的行为的分析确认。研究表明,视频流缓存可以从所建议的前瞻性技术中受益,因为在长时间的内容更新期间遇到的新请求可以部分修改替换决策。
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Optimum caching versus LRU and LFU: Comparison and combined limited look-ahead strategies
We compare web caching strategies based on the least recently used (LRU) and the least frequently used (LFU) replacement principles with optimum caching according to Belady's algorithm. The achievable hit rates of the strategies are shown to improve with the exploited knowledge about the request pattern while the computation effort is also increasing. The results give an overview of performance tradeoffs in the whole relevant range for web caching with Zipf request pattern. In a second part, we study a combined approach of the optimum strategy for a limited look-ahead with LRU, LFU or other non-predictive methods. We evaluate the hit rate gain depending on the extent of the look-ahead for request traces and for the independent reference model (IRM) via simulation and derive an analytic confirmation of the observed behaviour. It is shown that caching for video streaming can benefit from the proposed look-ahead technique, when replacement decisions can be partly revised due to new requests being encountered during long lasting content updates.
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