Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...
Network distance, measured as round-trip latency between hosts, is important for the performance of many Internet applications. For example, nearest server selection and proximity...
This paper considers the optimization of transceivers with decision feedback equalizers (DFE) for slowly time-varying memoryless multi-input multi-output (MIMO) channels. The data ...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...