Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- I Introduction to Queueing
- II Necessary Probability Background
- 3 Probability Review
- 4 Generating Random Variables for Simulation
- 5 Sample Paths, Convergence, and Averages
- III The Predictive Power of Simple Operational Laws: “What-If” Questions and Answers
- IV From Markov Chains to Simple Queues
- V Server Farms and Networks: Multi-server, Multi-queue Systems
- VI Real-World Workloads: High Variability and Heavy Tails
- VII Smart Scheduling in the M/G/1
- Bibliography
- Index
3 - Probability Review
from II - Necessary Probability Background
Published online by Cambridge University Press: 05 February 2013
- Frontmatter
- Contents
- Preface
- Acknowledgments
- I Introduction to Queueing
- II Necessary Probability Background
- 3 Probability Review
- 4 Generating Random Variables for Simulation
- 5 Sample Paths, Convergence, and Averages
- III The Predictive Power of Simple Operational Laws: “What-If” Questions and Answers
- IV From Markov Chains to Simple Queues
- V Server Farms and Networks: Multi-server, Multi-queue Systems
- VI Real-World Workloads: High Variability and Heavy Tails
- VII Smart Scheduling in the M/G/1
- Bibliography
- Index
- Type
- Chapter
- Information
- Performance Modeling and Design of Computer SystemsQueueing Theory in Action, pp. 31 - 69Publisher: Cambridge University PressPrint publication year: 2013