Impact of replacement policies on static-dynamic query results cache in web search engines

Hongyuan Ma, Ou Tao, Chunlu Zhao, Pengxiao Li, Lihong Wang
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Abstract

Caching query results is an efficient technique for Web search engines. A state-of-the-art approach named Static-Dynamic Cache (SDC) is widely used in practice. Replacement policy is the key factor on the performance of cache system, and has been widely studied such as LIRS, ARC, CLOCK, SKLRU and RANDOM in different research areas. In this paper, we discussed replacement policies for static-dynamic cache and conducted the experiments on real large scale query logs from two famous commercial Web search engine companies. The experimental results show that ARC replacement policy could work well with static-dynamic cache, especially for large scale query results cache.
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替换策略对web搜索引擎中静态和动态查询结果缓存的影响
缓存查询结果是Web搜索引擎的一种高效技术。静态动态缓存(SDC)是目前应用最为广泛的一种缓存方法。替换策略是影响缓存系统性能的关键因素,在不同的研究领域得到了广泛的研究,如LIRS、ARC、CLOCK、SKLRU和RANDOM。本文讨论了静态动态缓存的替换策略,并在两家著名的商业Web搜索引擎公司的真实大规模查询日志上进行了实验。实验结果表明,ARC替换策略可以很好地处理静态动态缓存,特别是对于大规模查询结果缓存。
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