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Issue No.02 - Mar.-Apr. (2014 vol.18)
pp: 41-49
Yuehai Xu , Wayne State University
Song Jiang , Wayne State University
Mike Paleczny , Facebook
Memcached is one of the world's largest key-value deployments. This article analyzes the Memcached workload at Facebook, looking at server-side performance, request composition, caching efficacy, and key locality. The observations presented here lead to several design insights and new research directions for key-value caches, such as the relative inadequacy of the least recently used (LRU) replacement policy.
Facebook, Social network services, Online services, Cache memory, Workload management,cache efficiency, workload analysis, key-value store
Yuehai Xu, Eitan Frachtenberg, Song Jiang, Mike Paleczny, "Characterizing Facebook's Memcached Workload", IEEE Internet Computing, vol.18, no. 2, pp. 41-49, Mar.-Apr. 2014, doi:10.1109/MIC.2013.80
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