This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
This paper examines the problem of estimating linear time-invariant state-space system models. In particular it addresses the parametrization and numerical robustness concerns tha...
Scalability is said to be one of the major advantages brought by the cloud paradigm and, more specifically, the one that makes it different to an “advanced outsourcing” solu...
Luis M. Vaquero, Luis Rodero-Merino, Rajkumar Buyy...
The availability of large quantities of processors is a crucial enabler of many-task computing. Voluntary computing systems have proven that it is possible to build computing plat...
Rostand Costa, Francisco V. Brasileiro, Guido Lemo...