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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
ABSTRACT
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.
INDEX TERMS
Facebook, Social network services, Online services, Cache memory, Workload management,cache efficiency, workload analysis, key-value store
CITATION
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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