Abstract
AbstractDelivery of popular content on the Internet usually does not rely on a single server but is supported by content delivery networks (CDNs) that reactively store requested content in distributed cache servers. CDNs strengthen the availability and downloading throughput. Moreover, they shorten transport paths when caches in the proximity of requesting users are preferred.We study how the cache hit rate as the main efficiency criterion of web caches depends on the request statistics and the caching strategy that selects which content should be placed in or evicted from a cache. Although the least recently used (LRU) strategy seems to be widely deployed in web caches, our comparison in simulations and analytic case studies reveals essentially higher hit rates for alternatives based on the complete request statistics in the past under the realistic assumption of Zipf distributed user requests.KeywordsWeb cachingreplacement strategiesleast recently used (LRU)least frequently used (LFU)sliding windowgeometric fadingcache hit rate analysis and simulationZipf distributed requests
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