Iterative Methods for Queuing and Manufacturing Systems introduces the recent advances
and developments in iterative methods for solving Markovian queuing and manufacturing …

It is with great pleasure that I respond to the kind invitation of the BAF project to contribute
prefatory remarks to this account of their work, carried out under the auspices of the RACE …

In this paper we consider inventory systems of multi-location. It is common to allow
emergency lateral transshipments from local locations to the main depot. Here we propose a …

The Markov-modulated Poisson process (MMPP) is a generalization of the Poisson process
and is commonly used in modeling the input process of communication systems such as …

Stochastic Automata Networks (SANs) are widely used in modeling communication systems,
manufacturing systems and computer systems. The SAN approach gives a more compact …

Derives expressions for the time-dependent state probabilities and the time-averaged state-
probabilities for the leaky bucket rate control scheme. The model is based on the theory of …

The leaky bucket scheme is a promising method that regulates input traffic for preventive
congestion control in ATM networks. One of the important problems in ATM networks is …

A new input rate regulation algorithm is presented in which the credit generation rate is
changed according to the state of an on-off data source. The proposed algorithm requires …

With today's network technology, our expectations for high performance networked
multimedia applications are increasing. However, no complete solution as yet exists for …

The statistical multiplexing of sources with diverse traffic characteristics in ATM networks
leads to serious congestion control problems. One of the most fundamental is the policing of …