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....
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
— We consider the design of optimal static feedback gains for interconnected systems subject to architectural constraints on the distributed controller. These constraints are in ...
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...