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Characterizing Facebook's Memcached Workload
Mar.-Apr. 2014 (vol. 18 no. 2)
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.
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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