- STAFF PICKS
- GIFTS + GIFT CARDS
- SELL BOOKS
- FIND A STORE
New Trade Paper
Ships in 1 to 3 days
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Probabilistic Modellingby I. Mitrani
Synopses & Reviews
Probabilistic modeling is the most cost-effective means of performance evaluation of computer systems. This book is a major revision of Modelling of Computer Communication Systems (CUP, 1987), one of the standard introductions to the area. Changes to the content reflect the change in the subject itself. Professor Mitrani has amplified the treatment of queues, reliability and applied probability. This book will be welcomed by students and teachers for its no-nonsense treatment of the basic results and examples of their application. The text includes the necessary fundamentals in probability and stochastic processes, making the book ideal for students in computer science or operations research taking courses in modern system design.
Probabilistic modelling is a mathematical method for evaluating and predicting the behaviour of complex dynamic systems. This book introduces the tools and techniques required to use that method, as well as examples of applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. The book can be used by computing science, engineering and operations research undergraduates and postgraduates taking courses in systems design. Very little mathematical background is assumed.
A no-nonsense introduction to the tools and techniques of probabilisitc modelling, with applications in manufacturing, computing and communications. Both performance and reliability evaluation are considered. Self-contained treatment suitable for computing science, engineering and operations research students taking courses in systems design.
Introduction to tools and applications of probabilistic modelling for computing or operations research students.
Table of Contents
Preface; 1. Introduction to probability theory; 2. Arrivals and services; 3. Queueing systems: average performance; 4. Queueing networks; 5. Markov chains and processes; 6. Queues in Markovian environments; Index.
What Our Readers Are Saying
Other books you might like
Computers and Internet » Software Engineering » Systems Analysis and Design