— We propose a precomputation-based scheme which offers Pareto optimal solutions to the network dimensioning problem. This scheme is performed by means of a two-phase procedure. ...
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...
Recent secure code-update protocols for sensor networks have been based on asymmetric-crypto primitives such as digital signatures. Our approach, Castor, explores the feasibility ...
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Several current research efforts in business process modeling are investigating XML-based executable formal specification languages. The availability of the latter allows modeled...