Transcription of 1 Introduction 2 Overview - USENIX
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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.
lions of people use these networks every day and im-pose computational, network, and I/O demands that tra-ditional web architectures struggle to satisfy. A social network’s infrastructure needs to (1) allow near real-time communication, (2) aggregate content on-the-fly from multiple sources, (3) be able to access and update
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