Cover image for Network Performance Analysis.
Network Performance Analysis.
Title:
Network Performance Analysis.
Author:
Bonald, Thomas.
ISBN:
9781118602850
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (181 pages)
Series:
Iste
Contents:
Cover -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Chapter 1. Introduction -- 1.1. Motivation -- 1.2. Networks -- 1.3. Traffic -- 1.4. Queues -- 1.5. Structure of the book -- 1.6. Bibliography -- Chapter 2. Exponential Distribution -- 2.1. Definition -- 2.2. Discrete analog -- 2.3. An amnesic distribution -- 2.4. Minimum of exponential variables -- 2.5. Sum of exponential variables -- 2.6. Random sum of exponential variables -- 2.7. A limiting distribution -- 2.8. A "very" random variable -- 2.9. Exercises -- 2.10. Solution to the exercises -- Chapter 3. Poisson Processes -- 3.1. Definition -- 3.2. Discrete analog -- 3.3. An amnesic process -- 3.4. Distribution of the points of a Poisson process -- 3.5. Superposition of Poisson processes -- 3.6. Subdivision of a Poisson process -- 3.7. A limiting process -- 3.8. A "very" random process -- 3.9. Exercises -- 3.10. Solution to the exercises -- Chapter 4. Markov Chains -- 4.1. Definition -- 4.2. Transition probabilities -- 4.3. Periodicity -- 4.4. Balance equations -- 4.5. Stationary measure -- 4.6. Stability and ergodicity -- 4.7. Finite state space -- 4.8. Recurrence and transience -- 4.9. Frequency of transition -- 4.10. Formula of conditional transitions -- 4.11. Chain in reverse time -- 4.12. Reversibility -- 4.13. Kolmogorov's criterion -- 4.14. Truncation of a Markov chain -- 4.15. Random walk -- 4.16. Exercises -- 4.17. Solution to the exercises -- Chapter 5. Markov Processes -- 5.1. Definition -- 5.2. Transition rates -- 5.3. Discrete analog -- 5.4. Balance equations -- 5.5. Stationary measure -- 5.6. Stability and ergodicity -- 5.7. Recurrence and transience -- 5.8. Frequency of transition -- 5.9. Virtual transitions -- 5.10. Embedded chain -- 5.11. Formula of conditional transitions -- 5.12. Process in reverse time -- 5.13. Reversibility.

5.14. Kolmogorov's criterion -- 5.15. Truncation of a reversible process -- 5.16. Product of independent Markov processes -- 5.17. Birth-death processes -- 5.18. Exercises -- 5.19. Solution to the exercises -- Chapter 6. Queues -- 6.1. Kendall's notation -- 6.2. Traffic and load -- 6.3. Service discipline -- 6.4. Basic queues -- 6.5. A general queue -- 6.6. Little's formula -- 6.7. PASTA property -- 6.8. Insensitivity -- 6.9. Pollaczek-Khinchin's formula -- 6.10. The observer paradox -- 6.11. Exercises -- 6.12. Solution to the exercises -- Chapter 7. Queuing Networks -- 7.1. Jackson networks -- 7.2. Traffic equations -- 7.3. Stationary distribution -- 7.4. MUSTA property -- 7.5. Closed networks -- 7.6. Whittle networks -- 7.7. Kelly networks -- 7.8. Exercises -- 7.9. Solution to the exercises -- Chapter 8. Circuit Traffic -- 8.1. Erlang's model -- 8.2. Erlang's formula -- 8.3. Engset's formula -- 8.3.1. Model without blocking -- 8.3.2. Model with blocking -- 8.4. Erlang's waiting formula -- 8.4.1. Waiting probability -- 8.4.2. Mean waiting time -- 8.5. The multiclass Erlang model -- 8.6. Kaufman-Roberts formula -- 8.7. Network models -- 8.8. Decoupling approximation -- 8.9. Exercises -- 8.10. Solutions to the exercises -- Chapter 9. Real-time Traffic -- 9.1. Flows and packets -- 9.2. Packet-level model -- 9.3. Flow-level model -- 9.4. Congestion rate -- 9.5. Mean throughput -- 9.6. Loss rate -- 9.7. Multirate model -- 9.8. Recursive formula -- 9.9. Network models -- 9.10. Gaussian approximation -- 9.11. Exercises -- 9.12. Solution to the exercises -- Chapter 10. Elastic Traffic -- 10.1. Bandwidth sharing -- 10.2. Congestion rate -- 10.3. Mean throughput -- 10.4. Loss rate -- 10.5. Multirate model -- 10.6. Recursive formula -- 10.7. Network model -- 10.8. Exercises -- 10.9. Solution to the exercises -- Chapter 11. Network Performance.

11.1. IP access networks -- 11.1.1. Poisson arrivals -- 11.1.2. Finite population -- 11.1.3. Approximation -- 11.2. 2G mobile networks -- 11.2.1. Voice traffic -- 11.2.2. Data traffic -- 11.3. 3G mobile networks -- 11.3.1. Uplink -- 11.3.2. Downlink -- 11.4. 3G+ mobile networks -- 11.4.1. Homogeneous case -- 11.4.2. Heterogeneous case -- 11.5. WiFi access networks -- 11.5.1. UDP traffic -- 11.5.2. TCP traffic -- 11.5.3. Random traffic -- 11.6. Data centers -- 11.6.1. Static routing -- 11.6.2. Greedy routing -- 11.6.3. Adaptive routing -- 11.7. Cloud computing -- 11.8. Exercises -- 11.9. Solution to the exercises -- Index.
Abstract:
The book presents some key mathematical tools for the performance analysis of communication networks and computer systems. Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service. This book introduces the main results of queuing theory that are useful for analyzing the performance of these systems. These mathematical tools are key to the development of robust dimensioning rules and engineering methods. A number of examples illustrate their practical interest.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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