Computer Networks and Systems
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Computer Networks and Systems: Queueing Theory and Performance Evaluation

Computer Networks and Systems: Queueing Theory and Performance Evaluation


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About the Book

This text, intended for a first course in performance evaluation, is a self-contained treatment covering all aspects of queueing theory. It starts by introducing readers to the terminology and usefulness of queueing theory and continues by considering Markovian queues in equilibrium, Little's law, reversibility, transient analysis, and computation, and the M/G/1 queueing system. A subsequent chapter covers networks of queues including the presentation of a recent and clear topological explanation for the existence of the product form solution. The final chapters explain techniques for numerical solutions, such as the convolution algorithm and mean-value analysis; discuss the PANACEA technique, discrete time queueing systems and simulation; and describe the new area of stochastic Petri networks. Case studies of distributed queueing networks arising in industrial applications are included. An appendix reviews probability theory. The third edition includes a new chapter on self-similar traffic, many new problems, and solutions for many exercises.

Table of Contents:
1: The Queueing Paradigm.- 1.1 Introduction.- 1.2 Queueing Theory.- 1.3 Queueing Models.- 1.4 Case Study I: Performance Model of a Distributed File Service By W.G. Nichols and J.S. Emer.- 1.5 Case Study II: Single-bus Multiprocessor Modeling By B.L. Bodnar and A.C. Liu.- 1.6 Case Study III: TeraNet, A Lightwave Network.- 1.7 Case Study IV: Performance Model of a Shared Medium Packet Switch By R. Guerin.- 2: Single Queueing Systems.- 2.1 Introduction.- 2.2 The M/M/1 Queueing System.- 2.3 Little’s Law.- 2.4 Reversibility and Burke’s Theorem.- 2.5 The State Dependent M/M/1 Queueing System.- 2.6 The M/M/1/N Queueing System: The Finite Buffer Case.- 2.7 The M/M/? Queueing System: Infinite Number of Servers.- 2.8 The M/M/m Queueing System: m Parallel Servers with a Queue.- 2.9 The M/M/m/m Queue: A Loss System.- 2.10 Central Server CPU Model.- 2.11 Transient Solution of the M/M/1/? Queueing System.- 2.12 The M/G/1 Queueing System.- 2.13 Priority Systems for Multiclass Traffic.- To Look Further.- Problems.- 3: Networks of Queues.- 3.1 Introduction.- 3.2 The Product Form Solution.- 3.3 Algebraic Topological Interpretation of the Product Form Solution.- 3.4 Recursive Solution of Nonproduct Form Networks.- 3.5 Queueing Networks with Negative Customers.- To Look Further.- Problems.- 4: Numerical Solution of Models.- 4.1 Introduction.- 4.2 Closed Queueing Networks: Convolution Algorithm.- 4.3 Mean Value Analysis.- 4.4 PANACEA: Approach for Large Markovian Queueing Networks.- 4.5 Norton’s Equivalent for Queueing Networks.- 4.6 Simulation of Communication Networks By J.F. Kurose and H.T. Mouftah.- To Look Further.- Problems.- 5: Stochastic Petri Nets.- 5.1 Introduction.- 5.2 Bus-oriented Multiprocessor Model.- 5.3 Toroidal MPN Lattices.- 5.4 The Dining Philosophers Problem.-5.5 A Station-oriented CSMA/CD Protocol Model.- 5.6 The Alternating Bit Protocol.- 5.7 SPN’s without Product Form Solutions.- 5.8 Conclusion.- To Look Further.- Problems.- 6: Discrete Time Queueing Systems.- 6.1 Introduction.- 6.2 Discrete Time Queueing Systems.- 6.3 Discrete Time Arrival Processes.- 6.4 The Geom/Geom/m/N Queueing System.- 6.5 The Geom/Geom/1/N and Geom/Geom/1 Queueing Systems.- 6.6 Case Study I: Queueing on a Space Division Packet Switch.- 6.7 Case Study II: Queueing on a Single-buffered Banyan Network.- 6.8 Case Study III: DQDB Erasure Station Location.- To Look Further.- Problems.- 7: Network Traffic Modeling.- 7.1 Introduction.- 7.2 Continuous Time Models.- 7.3 Discrete Time Models.- 7.4 Solution Methods.- 7.5 Burstiness.- 7.6 Self-Similar Traffic.- To Look Further.- Appendix: Probability Theory Review.- A.1 Probability.- A.2 Densities and Distribution Functions.- A.3 Joint Densities and Distributions.- A.4 Expectations.- A.5 Convolution.- A.6 Combinatorics.- A.7 Some Useful Summations.- A.8 Useful Moment-generating Function Identities.- References.


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Product Details
  • ISBN-13: 9780387950372
  • Publisher: Springer-Verlag New York Inc.
  • Publisher Imprint: Springer-Verlag New York Inc.
  • Edition: Revised edition
  • Language: English
  • Returnable: N
  • Spine Width: 33 mm
  • Weight: 825 gr
  • ISBN-10: 0387950370
  • Publisher Date: 22 Jun 2000
  • Binding: Hardback
  • Height: 235 mm
  • No of Pages: 409
  • Returnable: N
  • Sub Title: Queueing Theory and Performance Evaluation
  • Width: 155 mm


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