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.
"Mitrani succeeds in making his subject easily accessible...This approach makes the material clear and understandable for a wide audience. In addition, complex theoretical and practical problems seem relatively easy...a concise, clear, and well-documented book." Mathematics of Computing"...a very useful text for the practitioner and a nice addition as a quick reference to the probabilist's library. I highly recommend it to both groups...The strong emphasis on the explanation of ideas and the intuition behind concepts sets this text apart from others on the subject." Journal of the American Statistical Association
Introduction to tools and applications of probabilistic modelling for computing or operations research students.
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.
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.