Queueing Modelling Fundamentals: With Applications in Communication Networks

Queueing analysis is a vital tool used in the evaluation of system performance. Applications of queueing analysis cover a wide spectrum from bank automated teller machines to transportation and communications data networks. Fully revised, this second edition of a popular book contains the significant addition of a new chapter on Flow & Congestion Control and a section on Network Calculus among other new sections that have been added to remaining chapters. An introductory text, Queueing Modelling Fundamentals focuses on queueing modelling techniques and applications of data networks, examining the underlying principles of isolated queueing systems. This book introduces the complex queueing theory in simple language/proofs to enable the reader to quickly pick up an overview to queueing theory without utilizing the diverse necessary mathematical tools. It incorporates a rich set of worked examples on its applications to communication networks. Features include: Fully revised and updated edition with significant new chapter on Flow and Congestion Control as-well-as a new section on Network Calculus A comprehensive text which highlights both the theoretical models and their applications through a rich set of worked examples, examples of applications to data networks and performance curves Provides an insight into the underlying queuing principles and features step-by-step derivation of queueing results Written by experienced Professors in the field Queueing Modelling Fundamentals is an introductory text for undergraduate or entry-level post-graduate students who are taking courses on network performance analysis as well as those practicing network administrators who want to understand the essentials of network operations. The detailed step-by-step derivation of queueing results also makes it an excellent text for professional engineers.

[1]  Mario Gerla,et al.  Flow Control: A Comparative Survey , 1980, IEEE Trans. Commun..

[2]  Arnold O. Allen Probability, Statistics, and Queueing Theory , 1978 .

[3]  Gunter Bolch,et al.  Queueing Networks and Markov Chains , 2005 .

[4]  Leonard Kleinrock,et al.  Communication Nets: Stochastic Message Flow and Delay , 1964 .

[5]  Fayez Gebali Computer Communication Networks Analysis and Design , 2002 .

[6]  Peter G. Harrison,et al.  Performance modelling of communication networks and computer architectures , 1992, International computer science series.

[7]  P. Newman,et al.  ATM technology for corporate networks , 1992, IEEE Communications Magazine.

[8]  Tau Chen Modeling and analysis of computer communications networks , 1986, J. Am. Soc. Inf. Sci..

[9]  Basil S. Maglaris,et al.  Models for packet switching of variable-bit-rate video sources , 1989, IEEE J. Sel. Areas Commun..

[10]  Paul J. Schweitzer,et al.  Stochastic Models, an Algorithmic Approach , by Henk C. Tijms (Chichester: Wiley, 1994), 375 pages, paperback. , 1996, Probability in the Engineering and Informational Sciences.

[11]  W. J. Gordon,et al.  Closed Queuing Systems with Exponential Servers , 1967, Oper. Res..

[12]  Mohammed Ghanbari,et al.  Packing coded video signals into ATM cells , 1993, TNET.

[13]  Didier Le Gall,et al.  MPEG: a video compression standard for multimedia applications , 1991, CACM.

[14]  Peter J. Denning,et al.  The Operational Analysis of Queueing Network Models , 1978, CSUR.

[15]  Mischa Schwartz,et al.  Broadband integrated networks , 1996 .

[16]  Gopalakrishnan Ramamurthy,et al.  Modeling and analysis of a variable bit rate video multiplexer , 1992, [Proceedings] IEEE INFOCOM '92: The Conference on Computer Communications.

[17]  D. Mitra,et al.  Stochastic theory of a data-handling system with multiple sources , 1982, The Bell System Technical Journal.

[18]  Raif O. Onvural,et al.  Asynchronous Transfer Mode Networks: Performance Issues, Second Edition , 1993 .

[19]  Cui-Qing Yang,et al.  A taxonomy for congestion control algorithms in packet switching networks , 1995, IEEE Netw..

[20]  Herwig Bruneel,et al.  Discrete-time models for communication systems including ATM , 1992 .

[21]  F. Haight Applied Probability , 1981 .

[22]  M. Reiser,et al.  Performance evaluation of data communication systems , 1982, Proceedings of the IEEE.

[23]  B. Conolly Structured Stochastic Matrices of M/G/1 Type and Their Applications , 1991 .

[24]  Herwig Bruneel,et al.  A tight upper bound for the tail distribution of the buffer contents in statistical multiplexers with heterogeneous MMBP traffic sources , 1993, Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference.

[25]  H. Jonathan Chao,et al.  Quality of Service Control in High-Speed Networks , 2001 .

[26]  Yixin Zhu,et al.  Markov-modulated queueing systems , 1995, Queueing Syst. Theory Appl..

[27]  M. Neuts,et al.  A single-server queue with server vacations and a class of non-renewal arrival processes , 1990, Advances in Applied Probability.

[28]  M. Reiser,et al.  A Queueing Network Analysis of Computer Communication Networks with Window Flow Control , 1979, IEEE Trans. Commun..

[29]  Herwig Bruneel Queueing behavior of statistical multiplexers with correlated inputs , 1988, IEEE Trans. Commun..

[30]  B. Melamed,et al.  Traffic modeling for telecommunications networks , 1994, IEEE Communications Magazine.

[31]  Carl M. Harris,et al.  Fundamentals of queueing theory , 1975 .

[32]  James Martin Design of Real-Time Computer Systems , 1967 .

[33]  Don Towsley,et al.  Theories and models for Internet quality of service , 2002, Proc. IEEE.

[34]  Shang Zhi,et al.  A proof of the queueing formula: L=λW , 2001 .

[35]  M. L. Luhanga A fluid approximation model of an integrated packet voice and data multiplexer , 1988, IEEE INFOCOM '88,Seventh Annual Joint Conference of the IEEE Computer and Communcations Societies. Networks: Evolution or Revolution?.

[36]  H. Saunders,et al.  Probability, Random Variables and Stochastic Processes (2nd Edition) , 1989 .

[37]  Marcel F. Neuts,et al.  Matrix-Geometric Solutions in Stochastic Models , 1981 .

[38]  Wolfgang Fischer,et al.  The Markov-Modulated Poisson Process (MMPP) Cookbook , 1993, Perform. Evaluation.

[39]  Guy Pujolle,et al.  Introduction to queueing networks , 1987 .

[40]  Mitsuru Nomura,et al.  Basic characteristics of variable rate video coding in ATM environment , 1989, IEEE J. Sel. Areas Commun..

[41]  Stephen S. Lavenberg,et al.  Mean-Value Analysis of Closed Multichain Queuing Networks , 1980, JACM.

[42]  J. Magnus,et al.  Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .

[43]  Chris Blondia,et al.  Statistical Multiplexing of VBR Sources: A Matrix-Analytic Approach , 1992, Perform. Evaluation.

[44]  Piet Van Mieghem Performance Analysis of Communications Networks and Systems: Random variables , 2006 .

[45]  Lajos Takács,et al.  Priority queues , 2019, The Art of Multiprocessor Programming.