In general, high-speed network traffic is a complex, nonlinear, nonstationary process and is significantly affected by immeasurable parameters and variables. Thus, a precise model of this process becomes increasingly difficult as the complexity of the process increases. Recently, fuzzy modeling has been found to be a powerful method to effectively describe a real, complex, and unknown process w...

In this paper we investigate the stability of a class of two-station multiclass fluid networks with proportional routing. We obtain explicit necessary and sufficient conditions for the global stability of such networks. By virtue of a stability theorem of Dai [14], these results also give sufficient conditions for the stability of a class of related multiclass queueing networks. Our study exten...

Open restricted queueing networks give rise to the phenomenon of deadlock, whereby some customers may be unable to ever leave a server due to mutual blocking. This paper explores deadlock in queueing networks with limited queueing capacity, presents a method of detecting deadlock in discrete event simulations, and builds Markov chain models of these deadlocking networks. The three networks for ...

Abstract: In this paper, we develop a methodology for dynamic resource sharing in multimedia networks with competing traffic types. We introduce dynamic queueing models for multimedia traffic types, as well as approximate linearized dynamic queueing models. We formulate the problem as an dynamic non-cooperative Nash game and state the conditions for non-cooperative equilibrium. Finally, we prop...

To curb outbreaks of contagious diseases, county health departments must set up and operate clinics to dispense medications and vaccines. Carefully planning these clinics in advance of such an event is difficult and important. We developed and implemented operations research models to improve clinic planning for the Montgomery County (Maryland) Public Health Services. They include discrete-even...