Large Deviations for Gaussian Queues: Modelling Communication Networks (Repost)

In recent years the significance of Gaussian processes tocommunication networks has grown considerably. The inherentflexibility of the Gaussian traffic model enables the analysis, ina single mathematical framework, of systems with both long-rangeand short-range dependent input streams.
Large Deviations for Gaussian Queues demonstrates how theGaussian traffic model arises naturally, and how the analysis ofthe corresponding queuing model can be performed. The text providesa general introduction to Gaussian queues, and surveys recentresearch into the modelling of communications networks. Coverageincludes:
- Discussion of the theoretical concepts and practical aspectsrelated to Gaussian traffic models.
- Analysis of recent research asymptotic results for Gaussianqueues, both in the large-buffer and many-sources regime.
- An emphasis on rare-event analysis, relying on a variety ofasymptotic techniques.
- Examination of single-node FIFO queuing systems, as well asqueues operating under more complex scheduling disciplines, andqueuing networks.
- A set of illustrative examples that directly relate toimportant practical problems in communication networking.
- A large collection of instructive exercises and accompanyingsolutions.
Large Deviations for Gaussian Queues assumes minimalprior knowledge. It is ideally suited for postgraduate students inapplied probability, operations research, computer science andelectrical engineering. The book’s self-contained style makesit perfect for practitioners in the communications networkingindustry and for researchers in related areas.