The Future of Queueing Systems in Telecommunication | Unifying Classical and Transient Approaches for Smarter Network Design

Ismail A Mageed

ISBN 10: 9999325602 / ISBN 13: 9789999325608

Published by Eliva Press, 2025

About this Item

The Future of Queueing Systems in Telecommunication | Unifying Classical and Transient Approaches for Smarter Network Design | Ismail A Mageed | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999325608 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134228835

Bibliographic Details

• Title: The Future of Queueing Systems in Telecommunication | Unifying Classical and Transient Approaches for Smarter Network Design
• Publisher: Eliva Press
• Publication Date: 2025
• Language: English
• ISBN 10: 9999325602
• ISBN 13: 9789999325608
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 12D millimeters 229 millimeters width by 152 millimeters height by 12 millimeters depth
• Weight: 318 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Numerous studies on Queueing systems, such as Internet traffic flows, have shown to be bursty, self-similar and/or long-range dependent, because of the heavy (long) tails for the various distributions of interest, including intermittent intervals and queue lengths. Other studies have addressed vacation in a no-customers’ queueing system or when the server fails. These patterns are important for capacity planning, performance prediction, and optimization of networks and have a negative impact on their effective functioning. Heavy-tailed distributions have been commonly used by telecommunication engineers to create workloads for simulation studies, which, regrettably, may show peculiar queueing characteristics. To cost-effectively examine the impacts of different network patterns on heavy- tailed queues, new and reliable analytical approaches need to be developed. It has been decided to establish a brand-new analytical framework based on optimizing entropy functionals, such as those of Shannon, Rényi, Tsallis, and others that have been suggested within statistical physics and information theory, subject to suitable linear and non-linear system constraints. In both discrete and continuous time domains, new heavy tail analytic performance distributions will be developed, with a focus on those exhibiting the power law behaviour seen in many Internet scenarios. The exposition of two major revolutionary approaches, namely the unification of information geometry and classical queueing systems and unifying information length theory with transient queueing systems. After conclusions, open problems arising from this thesis and limitations are introduced as future work.