In this chapter, we introduce a concept of Computational Intelligence (CI), define its key
components—contributing technologies of neurocomputing, granular computing, especially …

We consider the large buffer asymptotics of a multiplexer under two different self-similar
traffic input models, viz., the infinite server model of Cox and the fractional Gaussian noise …

In this paper we investigate the impact of traffic patterns on wireless data networks. Modeling
and simulation of the cellular digital packet data (CDPD) network of Telus Mobility (a …

We suggest the M| G|/spl infin/input process as a viable model for network traffic due to its
versatility and tractability. We characterize the process as short-or long-range dependent by …

The underlying substation communication network (SCN) is of paramount importance in
facilitating the advanced functionalities of substation automation. To design and maintain an …

This is a survey paper on fluid queues, with a strong emphasis on recent attempts to
represent phenomena like long-range dependence. The central model of the paper is a fluid …

Six rainfall data time series, collected in various sites in Italy, are analyzed in order to
determine whether a linear trend or long memory is present. Various techniques for …

The authors discuss the broad issue of bandwidth allocation and call admission control
(CAC) in high-speed networks, focusing on asynchronous transfer mode technology. It is …

The usual concept of asymptotic independence, as discussed in the context of extreme
value theory, requires the distribution of the coordinatewise sample maxima under suitable …

Univariate heavy-tailed analysis rests on the analytic notion of regularly varying functions.
For multivariate heavy-tailed analysis, reliance on functions is awkward because …