We present the implementation of a large-scale latency estimation system based on GNP and incorporated into the Google content delivery network. Our implementation does not rely o...
Michal Szymaniak, David L. Presotto, Guillaume Pie...
Most programming languages adopt static binding, but for distributed programming an exclusive reliance on static binding is too restrictive: dynamic binding is required in various...
Peter Sewell, Gareth Stoyle, Michael Hicks, Gavin ...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Distributed systems can often be modeled as a collection of distributed (system) variables whose values are constrained by a set of constraints. In distributed multi-agent systems...
Wiebe van der Hoek, Cees Witteveen, Michael Wooldr...
The majority of people in rural developing regions do not have access to the World Wide Web. Traditional network connectivity technologies have proven to be prohibitively expensiv...
Jay Chen, Lakshminarayanan Subramanian, Jinyang Li