• Publications
  • Influence
Random Neural Networks with Negative and Positive Signals and Product Form Solution
  • E. Gelenbe
  • Mathematics, Computer Science
  • Neural Computation
  • 1 December 1989
TLDR
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
A survey of autonomic communications
TLDR
The current state of autonomic communications research is surveyed and significant emerging trends and techniques are identified. Expand
Learning in the Recurrent Random Neural Network
  • E. Gelenbe
  • Computer Science
  • Neural Computation
  • 7 September 1992
TLDR
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
Product-form queueing networks with negative and positive customers
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 ifExpand
Introduction to queueing networks
TLDR
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
G-networks by triggered customer movement
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 movementExpand
Analysis and Synthesis of Computer Systems
TLDR
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
On the Optimum Checkpoint Interval
TLDR
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
Energy-Efficient Cloud Computing
TLDR
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
G-Networks with Signals and Batch Removal
TLDR
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
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