t Abstract Machine for Safe Ambients Daniel Hirschkoff1 , Damien Pous1 , and Davide Sangiorgi2 1 ENS Lyon, France 2 Universit`a di Bologna, Italy Abstract. We describe an abstract...
Abstract. We describe an approach to designing and implementing a distributed system as a family of related finite state machines, generated from a single abstract model. Various a...
Graham N. C. Kirby, Alan Dearle, Stuart J. Norcros...
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and comp...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Virtual machines are a promising technology to overcome some of the problems found in current Grid infrastructures, like heterogeneity, performance partitioning or application iso...
Antonio J. Rubio-Montero, Eduardo Huedo, Rub&eacut...