Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
The objective of this paper is twofold. First, the problem of generation of real random matrix samples with uniform distribution in structured (spectral) norm bounded sets is stud...
The design of a process migration mechanism for the Amoeba distributed operating system is described. The primary motivation for this implementation is to carry out experimental a...
This paper presents the distributed architecture of the WIDE workflow management system. We show how distribution and scalability are obtained by the use of a distributed object m...
Stefano Ceri, Paul W. P. J. Grefen, Gabriel Sanche...