MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Building dependable distributed systems using ad hoc methods is a challenging task. Without proper support, an application programmer must face the daunting requirement of having ...
Jennifer Ren, Michel Cukier, Paul Rubel, William H...
This paper describes the architecture of a safety system of the railway's interlocking equipment, which has been developed for Czech railways. The system will be used for the...
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
Abstract. While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, ...