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| Michel Mandjes | ||||
| Wiley | ||||
| 2007 | ||||
| English | ||||
| pages | ||||
| 1.79 MB | ||||
[tab] [content title="Summary"] In recent years, the importance of Gaussian processes in communication networks has significantly increased. The flexibility of the Gaussian traffic model allows for the analysis of systems with both long-range and short-range dependent input streams within a single mathematical framework. *Large Deviations for Gaussian Queues* illustrates how the Gaussian traffic model naturally arises and outlines how to analyze the corresponding queuing model. The text offers a comprehensive introduction to Gaussian queues and reviews recent research on modeling communication networks. Key topics covered include: - An overview of the theoretical concepts and practical considerations related to Gaussian traffic models. - Analysis of recent asymptotic results for Gaussian queues in both the large-buffer and many-sources regimes. - A focus on rare-event analysis, utilizing various asymptotic techniques. - Exploration of single-node FIFO queuing systems as well as more complex scheduling disciplines and queuing networks. - A collection of illustrative examples relevant to significant practical issues in communication networking. - A substantial set of instructive exercises along with detailed solutions. *Large Deviations for Gaussian Queues* assumes minimal prior knowledge and is ideally suited for postgraduate students in applied probability, operations research, computer science, and electrical engineering. Its self-contained format also makes it an excellent resource for practitioners in the communications networking industry and researchers in related fields. [/content] [content title="Content"] [/content] [content title="Author(s)"] [/content] [/tab]
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Key-Words: Télécharger EBOOK PDF EPUB DJVU Large deviations for Gaussian queues: modelling communication networks. Download EBOOK PDF EPUB DJVU Large deviations for Gaussian queues: modelling communication networks.
