Data Networks 2nd Edition Bertsekas Solutions Manual

Data Networks 2nd Edition Bertsekas Solutions Manual

Product details:

• ISBN-10 ‏ : ‎ 0132009161
• ISBN-13 ‏ : ‎ 978-0132009164
• Author: Dimitri P. Bertsekas and Robert G. Gallager.

Based on an extremely popular short course conducted by the authors for several Fortune 500 companies, this volume is designed to help professionals develop a deeper understanding of data networks and evolving integrated networks, and to explore today’s various analysis and design tools. KEY TOPICS: It begins with an overview of the principles behind data networks, then develops an understanding of the modeling issues and mathematical analysis needed to compare the effectiveness of different networks. An ideal reference for Communication, Network, and Research and Development Engineers.

Table contents:

1. Preliminaries.

1.1. Probability Theory.

1.2. z-Transforms – Generating Functions.

1.3. Laplace Transforms.

1.4. Matrix Operations.

Problems.

2. Introduction to Queueing Systems.

2.1. Nomenclature of a Queueing System.

2.2. Random Variables and their Relationships.

2.3. Kendall Notation.

2.4 Little’s Theorem.

2.5 Resource Utilization and Traffic Intensity.

2.6 Flow Conservation Law.

2.7 Poisson Process.

2.8 Properties of Poisson Process.

Problems.

3. Discrete and Continuous Markov Processes.

3.1. Stochastic Processes.

3.2. Discrete-time Markov Chains.

3.3. Continuous-time Markov Chains.

3.4. Birth-Death Processes.

Problems.

4. Single-Queue Markovian Systems.

4.1. Classical M/M/1 Queue.

4.2. PASTA – Poisson Arrivals See Time Averages.

4.3. M/M/1/S Queueing Systems.

4.5. Multi-server Systems – M/M/m

4.6. Erlang’s Loss Queueing Systems – M/M/m/m Systems.

4.7. Engset’s Loss Systems.

4.8. Considerations for Applications of Queueing Models

Problems.

5. Semi-Markovian Queueing Systems.

5.1. The M/G/1 Queueing System.

5.2 The Residual Service Time Approach.

5.3 M/G/1 Non-preemptive Priority Queueing.

5.4 Priority Queueing Systems.

5.5 The G/M/1  Queueing System.

6. Open Queueing Networks.

6.1. Markovian Queries in Tandem.

6.2. Applications of Tandem Queues in Data Networks.

6.3. Jackson Queueing Networks.

Problems.

7. Closed Queueing Networks.

7.1. Jackson Closed Queueing Networks.

7.2. Steady-state Probability Distribution.

7.3. Convolution Algorithm.

7.4. Performance Measures.

7.5. Mean Value Analysis.

7.6. Application of Closed Queueing Networks.

Problems.

8. Markov-Modulated Arrival Process.

8.1. Markov-modulated Poisson Process (MMPP).

8.2. Markov-modulated Bernoulli Process.

8.3. Markov-modulated Fluid Flow.

8.4. Network Calculus.

9. Flow and Congestion Control.

9.1. Introduction.

9.2. Quality of Service.

9.3. Analysis of Sliding Window Flow Control Mechanisms.

9.4. Rate Based Adaptive Congestion Control.

References.

Index.

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