A new class of random neural networks in which signals are either negative or positive, and this model, with exponential signal emission intervals, Poisson external signal arrivals, and Markovian signal movements between neurons, has a product form leading to simple analytical expressions for the system state.Expand

This work presents a learning algorithm for the recurrent random network model (Gelenbe 1989, 1990) using gradient descent of a quadratic error function to "backpropagation" type algorithm.Expand

We introduce a new class of queueing networks in which customers are either 'negative' or 'positive'. A negative customer arriving to a queue reduces the total customer count in that queue by 1 if… Expand

A comparison of G-Networks with Multiple Classes of Signals and Positive Customers and Discrete-Time Queueing Systems shows how different approaches to queue management can produce different results.Expand

The generalized queueing networks (G-networks) which we introduce in this paper contain customers and signals. Both customers and signals can be exogenous, or can be obtained by a Markovian movement… Expand

This paper presents a monographs on characterisation and control of Achievable Performance Control of Performance in Mutliple-Resource Systems and a Queue with Server of Walking Type.Expand

It is shown that the optimum checkpoint interval is a function of the load of the system, and it is proved that the total operating time between successive checkpoints should be a deterministic quantity in order to maximize the availability.Expand

The usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure and some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments are identified.Expand

It is shown that this queueing networks containing customers and signals that were recently introduced in Gelenbe has product form stationary solution and the non-linear customer flow equations that govern it are established.Expand