Performance modeling, loss networks, and statistical multiplexing
By: Mazumdar, Ravi R.
Material type:
BookSeries: Synthesis lectures on communication networks: # 2.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2010Description: 1 electronic text (xvi, 135 p. : ill.) : digital file.ISBN: 9781608450770 (electronic bk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Network performance (Telecommunication) -- Simulation methods | Computer networks -- Computer simulation | MultiplexingDDC classification: 004.6 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBKE229 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references and index.
Preface -- 1. Introduction to traffic models and analysis: 1.1. Introduction; 1.2. Traffic arrival models; 1.3. Residual life and the inspection paradox; 1.4. Event and time averages (EATA); 1.5. Fluid traffic arrival models; Notes and probing further; Book references; Journal articles -- 2. Queues and performance analysis: 2.1. Preliminaries; 2.2. Queueing models; 2.3. Waiting times and workload in queues; 2.4. From means to distributions; 2.5. Fluid queues; Notes and probing further; Book references; Journal articles -- 3. Loss models for networks: 3.1. Introduction; 3.2. Mathematical preliminaries; 3.3. Erlang loss system; 3.4. Multi-rate erlang loss systems; 3.5. The general network case; 3.6. Large loss systems; 3.7. Loss network models inwireless communication networks; 3.8. Some properties of large multi-rate systems; Notes and probing further; Book references; Journal articles -- 4. Statistical multiplexing: 4.1. Performance metrics for quality of service (QoS); 4.2. Multiplexing and effective bandwidths-motivation; 4.3. Multiplexing fluid inputs; 4.4. QoS-packet loss and effective bandwidths; 4.5. Estimating buffer overflow probabilities; 4.6. Effective bandwidths revisited; Notes and probing further; Book references; Journal articles -- A. Rreview of probability and Markov chains -- Bibliography -- Index -- Author's biography.
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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 samplepath 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.
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