Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition (Record no. 85225)

000 -LEADER
fixed length control field 03494nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-79260-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164023.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2013 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031792601
-- 978-3-031-79260-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Mazumdar, Ravi R.
245 10 - TITLE STATEMENT
Title Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition
250 ## - EDITION STATEMENT
Edition statement 2nd ed. 2013.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 197 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Learning, Networks, and Algorithms,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction to Traffic Models and Analysis -- Queues and Performance Analysis -- Loss Models for Networks -- Stochastic Networks and Insensitivity -- Statistical Multiplexing.
520 ## - SUMMARY, ETC.
Summary, etc This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.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 computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are 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 discussion of accurate approximations for large networks.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-79260-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2013.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cooperating objects (Computer systems).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming languages (Electronic computers).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
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-- Cyber-Physical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming Language.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2690-4314
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-- ZDB-2-SXSC

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