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Queuing Networks And Markov Chains: Modeling And Performance Evaluation With Computer Science Applications,Used
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The First Book To Address Computer Performance Evaluation From The Perspective Of Queueing Theory And Markov Chains.Queueing Networks And Markov Chains Provides Comprehensive Coverage Of The Theory And Application Of Computer Performance Evaluation Based On Queueing Networks And Markov Chains. Progressing From Basic Concepts To More Complex Topics, This Book Offers A Clear And Concise Treatment Of The State Of The Art In This Important Field.Essential Reading For System Designers And Researchers As Well As Graduate Students Taking Courses In Computer Performance Analysis, This Book Contains:* A Basic Introduction To Probability Theory* An Explanation Of The Characteristics Of Different Types Of Markov Chains* Simple Examples Of All Algorithms* Transient And Steadystate Solution Algorithms* Wellknown Solution Techniques For Queueing Systems And Networks* A Broad Range Of Application Studiesfrom Clientserver Systems To Atm Networks* Hundreds Of Illustrations, Exercises, And More.As Computer And Communications Systems Become More Complex, System Designers Are Increasingly Called Upon To Locate Information Bottlenecks Or Create Optimal Systems For Specific Needs. In A Short Period Of Time, Performance Modeling Techniques Have Become An Important Tool For This Type Of Workand Indispensable To Anyone Dealing With Questions Of Reliability And Quality In Operations, Communications, And Manufacturing. Queueing Networks And Markov Chains Is An Uptodate, Applicationdriven Guide To Computer Performance Analysis. It Is The Only Book Currently Available That Combines Theory And Applications Of Computer Performance Evaluation With Queueing Networks And Markov Chains, And Offers An Abundance Of Performanceevaluation Algorithms, Applications, And Case Studies.Entirely Selfcontained, Queueing Networks And Markov Chains Introduces Probability Theory And Clearly Explains Basic Concepts Before Moving To Advanced Topics. It Examines Markov Chains And Solution Algorithms, Building On Results Obtained In The Markov Chain Chapter To Derive The Basic Relationship For Queueing Networks. Modeling And Evaluation Are Discussed In The Context Of A Variety Of Systemsincluding Clientserver Systems, Pulling Systems, Operating Systems, Atm Networks, And More. The Authors Present New Queueing And Optimization Techniques For Queueing Networks, As Well As Multilevel Methods For The Solution Of Markovian Systems Of Equations. They Show How To Find An Appropriate Solution Algorithm For A Given Problem Using The Queueing Network Tool Pepsy And How To Determine Benefits Or Limitations Of Queueing Networks And Markov Chains Using The Markov Analyzer Moses.In Addition, The Book Provides Numerous Illustrations And Exercises, Gives Simple Examples For All Algorithms, And Compares Various Methods For Their Computation Time, Storage Requirement, Accuracy, And Applicability.Timely And Comprehensive, Queueing Networks And Markov Chains Is Essential For Practitioners And Researchers Working In This Rapidly Evolving Field, As Well As For Graduate Students In Computer Science Departments.
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- Q: How many pages does the book contain? A: This book contains seven hundred twenty-six pages. It provides extensive coverage of queueing theory and Markov chains.
- Q: What is the binding type of this book? A: The binding type is hardcover. This format is durable and suitable for long-term use.
- Q: What are the dimensions of the book? A: The book measures six and a half inches in length, one and three-quarter inches in width, and nine and seventy-six hundredths inches in height. These dimensions make it a manageable size for both reading and reference.
- Q: Who is the author of the book? A: The author of the book is Gunter Bolch. He is known for his expertise in computer performance evaluation.
- Q: Which publisher released this book? A: This book was published by Wiley-Interscience. The publisher is renowned for its academic and professional publications.
- Q: What topics does the book cover? A: The book covers queueing theory and Markov chains. It addresses their applications in computer performance evaluation comprehensively.
- Q: Can beginners understand the concepts in this book? A: Yes, beginners can understand the concepts. The book starts with basic probability theory before progressing to advanced topics.
- Q: Is this book suitable for graduate students? A: Yes, this book is suitable for graduate students. It serves as essential reading for those studying computer performance analysis.
- Q: Are there exercises included in the book? A: Yes, the book includes numerous exercises. These exercises help reinforce the concepts discussed in each chapter.
- Q: How can I apply the knowledge from this book? A: You can apply the knowledge by using performance modeling techniques. These techniques are vital for analyzing and improving system reliability and quality.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement. Most sellers have policies in place for handling damaged goods.
- Q: Is there a warranty for this book? A: No, there is generally no warranty for books. However, you can check the return policy of the seller.
- Q: How do I keep this book in good condition? A: To keep this book in good condition, store it upright on a shelf. Avoid exposing it to direct sunlight and moisture.
- Q: Can I share this book with others? A: Yes, you can share this book with others. However, ensure it is returned in the same condition.
- Q: What if I find a mistake in the book? A: If you find a mistake in the book, you can refer to the publisher for errata or corrections. Many academic publishers provide errata online.