Abstract. Transforming constraint models is an important task in recent constraint programming systems. User-understandable models are defined during the modeling phase but rewriti...
We consider the problem of maximizing capacity in a queueing network with flexible servers, where the classes and servers are subject to failure. We assume that the interarrival ...
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
- According to the rapid changes in our life styles and in order to cope with the new requirements for modern learning settings and activities, several applications have been devel...
In this paper, we present a software framework, called HDS (Heterogeneous Distributed System), that tries to simplify the realization of distributed applications and, in particular...