Building Distributed Storage with Specialized Hardware
Zsolt István · Repository for Publications and Research Data (ETH Zurich) · 2018
In an effort to keep up with increasing data sizes, applications in the datacenter are scaled out to large number of machines.Even though this allows them to tackle complex problems, data movement bottlenecks of various types appear, limiting overall performance and scalability.Pushing computation closer to the data reduces bottlenecks, and in this work we explore this idea in the context of distributed key-value stores.Efficient compute is important in the datacenter, especially at scale.Driven by the stagna-