Probability, stochastic processes, and queueing theory : the mathematics of computer performance modelling /
This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive,...
| Основен автор: | Nelson, Randolph. |
|---|---|
| Формат: | Книга |
| Език: | English |
| Публикувано: |
New York :
Springer-Verlag,
c1995.
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| Предмети: | |
| Онлайн достъп: |
Publisher description Table of contents only |
Съдържание:
- 1. Introduction
- I. Probability. 2. Randomness and Probability. 3. Combinatorics. 4. Random Variables and Distributions. 5. Expectation and Fundamental Theorems
- II. Stochastic Processes. 6. The Poisson Process and Renewal Theory. 7. The M/G/1 Queue. 8. Markov Processes. 9. Matrix Geometric Solutions. 10. Queueing Networks. 11. Epilogue and Special Topics
- A. Types of Randomness
- B. Combinatorial Equalities and Inequalities
- C. Tables of Laplace Transforms and Generating Functions
- D. Limits and Order Relationships
- E. List of Common Summations.