| 書目名稱 | Performance Modeling, Loss Networks, and Statistical Multiplexing | | 編輯 | Ravi R. Mazumdar | | 視頻video | http://file.papertrans.cn/744/743812/743812.mp4 | | 叢書名稱 | Synthesis Lectures on Learning, Networks, and Algorithms | | 圖書封面 |  | | 描述 | This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in performance measures. Also presented are recent ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed presentation of loss network models and accurate approximations for large networks.Table of Contents: Introduction to Traffic Models and Analysis / Queues and Performance Analysis / Loss Models for Networks / Statistical Multiplexing | | 出版日期 | Book 2010 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79980-8 | | isbn_ebook | 978-3-031-79980-8Series ISSN 2690-4306 Series E-ISSN 2690-4314 | | issn_series | 2690-4306 | | copyright | Springer Nature Switzerland AG 2010 |
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