1.

Record Nr.

UNINA9910876916703321

Autore

Mandjes Michel (Michael Robertus Hendrikus), <1970->

Titolo

Large deviations for Gaussian queues : modelling communication networks / / Michel Mandjes

Pubbl/distr/stampa

Chichester, : Wiley, c2007

ISBN

1-280-85607-6

9786610856077

0-470-51509-0

0-470-51508-2

Descrizione fisica

1 online resource (338 p.)

Disciplina

621.38215015192

Soggetti

Gaussian processes

Telecommunication - Traffic - Mathematical models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

pt. A. Gaussian traffic and large deviations -- pt. B. Large deviations of Gaussian queues -- pt. C. Applications.

Sommario/riassunto

In recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input streams. Large Deviations for Gaussian Queues demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications n