Workload analysis of a large-scale key-value store

Key-value stores are a vital component in many scale-out enterprises, including social networks, online retail, and risk analysis. Accordingly, they are receiving increased attention from the research community in an effort to improve their performance, scalability, reliability, cost, and power consumption. To be effective, such efforts require a detailed understanding of realistic key-value workloads. And yet little is known about these workloads outside of the companies that operate them. This paper aims to address this gap. To this end, we have collected detailed traces from Facebook’s Memcached deployment, arguably the world’s largest. The traces capture over 284 billion requests from five different…