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1 Introduction 2 Overview - USENIX

USENIX Association 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI 13) 385 Scaling Memcache at FacebookRajesh Nishtala, Hans Fugal, Steven Grimm, Marc Kwiatkowski, Herman Lee, Harry C. Li,Ryan McElroy, Mike Paleczny, Daniel Peek, Paul Saab, David Stafford, Tony Tung,Venkateshwaran hcli, rm, mpal, dpeek, ps, dstaff, ttung, :Memcachedis a well known, simple, in-memory caching solution. This paper describes howFacebook leveragesmemcachedas a building block toconstruct and scale a distributed key-value store thatsupports the world s largest social network. Our systemhandles billions of requests per second and holds tril-lions of items to deliver a rich experience for over a bil-lion users around the IntroductionPopular and engaging social networking sites presentsignificant infrastructure challenges.

storing trillions of items. This paper is the latest in a series of works that have recognized the flexibility and utility of distributed key-value stores [1, 2, 5, 6, 12, 14, 34, 36]. This paper fo-cuses on memcached—an open-source implementation of an in-memory hash table—as it provides low latency access to a shared storage pool at low ...

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