基于维基百科请求统计的Web缓存评估

G. Haßlinger, Mahmoud Kunbaz, Frank Hasslinger, T. Bauschert
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引用次数: 8

摘要

维基百科是互联网上最受欢迎的信息平台之一。用户访问维基百科页面的模式取决于它们在当前全球社会话语中的相关性。我们使用每天最受欢迎的1000个页面的公开统计数据来估计支持平台的缓存的效率。虽然数据量适中,但维基百科缓存的主要目标是减少页面浏览和编辑的访问时间。我们研究了最受欢迎的页面对可实现的缓存命中率的影响,并将其与Zipf请求分布进行了比较,我们还包括了流行度的日常动态。
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Web caching evaluation from Wikipedia request statistics
Wikipedia is one of the most popular information platforms on the Internet. The user access pattern to Wikipedia pages depends on their relevance in the current worldwide social discourse. We use publically available statistics about the top-1000 most popular pages on each day to estimate the efficiency of caches for support of the platform. While the data volumes are moderate, the main goal of Wikipedia caches is to reduce access times for page views and edits. We study the impact of most popular pages on the achievable cache hit rate in comparison to Zipf request distributions and we include daily dynamics in popularity.
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Keynote speaker Keynote speaker Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings Retraction Note to: Mobility Aided Context-Aware Forwarding Approach for Destination-Less OppNets Ad-Hoc, Mobile, and Wireless Networks: 18th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2019, Luxembourg, Luxembourg, October 1–3, 2019, Proceedings
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