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,...
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| Format: | eBook |
| Language: | English |
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New York :
Springer-Verlag,
[1995]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 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.