Book Description
Queueing Systems Volume 1: Theory Leonard Kleinrock This book presents and develops methods from queueing theory in sufficient depth so that students and professionals may apply these methods to many modern engineering problems, as well as conduct creative research in the field. It provides a long-needed alternative both to highly mathematical texts and to those which are simplistic or limited in approach. Written in mathematical language, it avoids the "theorem-proof" technique: instead, it guides the reader through a step-by-step, intuitively motivated yet precise development leading to a natural discovery of results. Queueing Systems, Volume I covers material ranging from a refresher on transform and probability theory through the treatment of advanced queueing systems. It is divided into four sections: 1) preliminaries; 2) elementary queueing theory; 3) intermediate queueing theory; and 4) advanced material. Important features of Queueing Systems, Volume 1: Theory include-
* techniques of duality, collective marks
* queueing networks
* complete appendix on z-transforms and Laplace transforms
* an entire appendix on probability theory, providing the notation and main results needed throughout the text
* definition and use of a new and convenient graphical notation for describing the arrival and departure of customers to a queueing system
* a Venn diagram classification of many common stochastic processes
1975 (0 471-49110-1) 417 pp. Fundamentals of Queueing Theory Second Edition Donald Gross and Carl M. Harris This graduated, meticulous look at queueing fundamentals developed from the authors' lecture notes presents all aspects of the methodology-including Simple Markovian birth-death queueing models; advanced Markovian models; networks, series, and cyclic queues; models with general arrival or service patterns; bounds, approximations, and numerical techniques; and simulation-in a style suitable to courses of study of widely varying depth and duration. This Second Edition features new expansions and abridgements which enhance pedagogical use: new material on numerical solution techniques for both steady-state and transient solutions; changes in simulation language and new results in statistical analysis; and more. Complete with a solutions manual, here is a comprehensive, rigorous introduction to the basics of the discipline. 1985 (0 471-89067-7) 640 pp.
Average customer rating:
- Probably the best modeling book around!
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Performance of Computer Communication Systems: A Model-Based Approach
Boudewijn R. Haverkort
Manufacturer: Wiley
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ASIN: 0471972282 |
Book Description
Performance of Computer Communication Systems A Model-Based Approach Boudewijn R. Haverkort Rheinisch-Westfälische Technische Hochschule Aachen, Germany Computer communication systems and distributed systems are now able to provide an increasing range of services. As the timing requirements in the operation of these services are becoming crucial for the global community. performance assessment and selection of communication and distributed systems are, therefore, becoming more important. In this book, the author illustrates the techniques and methods used to evaluate the performance of computer communication systems, thereby covering all aspects of model-based performance evaluation. Unlike other books on this topic, there is no restriction to a particular performance evaluation technique. Notable features in this book include:
* coverage of all major techniques of performance evaluation
* non-mathematical problem solving approach, explaining and illustrating performance evaluation techniques
* assessment techniques for stochastic processes, single server queues, networks of queues and stochastic Petri nets
* numerous application studies, including token ring systems, client-server systems, and wide-area networks
* substantial number of practical exercises and examples.
For computer or electrical engineers who design and implement computer communication systems, this book provides an excellent overview of the methods and techniques used to construct and solve performance models. It is also a valuable source of information for postgraduate students in computer science and related subjects. Visit Our Web Page! http://www.wiley.com/
Customer Reviews:
Probably the best modeling book around!.......2007-01-22
I consider this book a lucky find. As you can probably guess, I have nearly every book remotely related to computer performance modeling, which you'll see if you look at my guide to building a web site that doesn't frustrate customers. But for some reason, I didn't have this one. When I did get a copy, it quickly became one of my favorites!
The book starts with a good foundation in stochastic processes (Part I) and single-server queuing models (Part II). The highlight of the second part is chapter 8 on phase-type distributions, quasi-birth-death processes and matrix geometric methods. I have not found much on this approach elsewhere that's accessible to a practitioner, so if you, like me, have a large collection and are looking for a reason to add this book, here's one!
Part III covers queuing networks. There isn't much here you won't find in other books, although it's explained in more detail and covers more of the history of the subject than many of the basic books. Few of today's books go beyond mean value analysis for closed networks, for example; it's very rare that the convolution algorithm is even mentioned.
Part IV covers stochastic Petri net models. Most of this, except for chapter 17 on infinite state stochastic Petri nets, is available in other books. But, like chapter 8, you won't find the material in chapter 17 in an accessible form anywhere else. And a number of the other books on stochastic Petri nets have gone out of print. So chapter 17 is reason two to add this one to a collection.
Part V consists of one chapter on simulation. I personally think simulation has gotten way too much bad press. Analytical modeling proponents are fond of whining about how long it takes to build simulation models, how long it takes to run them, etc. I don't personally do simulation, but there are numerous situations where it's the "right thing to do".
In summary, I think this is currently the best advanced modeling book available. If you want to go beyond mean value analysis, get this one. It covers stochastic processes, single queues, queuing networks, stochastic Petri nets and simulation.
Average customer rating:
- Excellent Book
- Great reference for probability and related studies.
- Comprehensive and systematic.
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Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling
Randolph Nelson
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Computer Applications, Volume 2, Queueing Systems
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Queueing Systems. Volume 1: Theory
ASIN: 0387944524 |
Book Description
This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modelling. The author's aim is to derive the theory in a way that combines its formal, intuitive, and applied aspects so that students may apply this indispensable tool in a variety of different settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit, but otherwise this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability including expectation, random variables, and fundamental theorems. In the second half of the book the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, and reversibility as it applies to networks of queues. Examples and applications are drawn from problems in computer performance modelling.
Customer Reviews:
Excellent Book.......2007-03-24
This book provides an excellent introduction to Discrete Distributions and their relationships in a sense that goes beyond the classical presenation in other text books. It has excellent introductory chapters on Markov Processes and Matrix Geormetric Systems. I think this book is a great book that can help in courses in Queuing and probability theory.
Great reference for probability and related studies........2005-03-12
I have not really read this book chapter by chapter, but I always found in this book the information I needed. I initially borrowed this book from library, only to find that I simply need this book to be on my shelf for convenient reference whenever I need to understand a concept or analysis I come across somewhere else!
I only use this book as a reference, but it is a good one. I do not give it 5 stars simply because I am not sure whether all the chapters in the book are equally well written. But for the chapters (or pages) I have read, it is a great one.
Comprehensive and systematic........2000-12-18
This book is suitable for my graduate studies on computer performance. The author directs us from combinatorics, distribution theory, queue theory to queueing networks in a systematic way. I have read the book at ease for its stepwise elaboration of concepts. However, I have also read with hardship as it requires the readers to possess a good command of mathematics, both pure and applied, in order to go through the book.
For a mathematics graduate studying computer networks, I recommend this book. A novice or a mediocrity should pay more patience to read if not yet at a loss.
This book has aroused my interest and eagerness to know more about computer performance from the viewpoint of queueing and networking. In a word, I enjoy reading this book.
Book Description
This look at queueing theory stresses the fundamentals of the analytic modeling of queues. It features Excel and Quattro software that allows greater flexibility in the understanding of the nature, sensitivities and responses of waiting- line systems to parameter and environmental changes.
"...this is one of the best books available for use as a textbook for a course and for an applied reference book. Its excellent organizational structure allows quick reference to specific models and its clear presentation coupled with the use of the QTS software solidifies the understanding of the concepts being presented. I highly recommend this book to educators and applied researchers."--IEE Transactions on Operations Engineering
Customer Reviews:
The Classic Queueing Theory Text.......1999-11-08
Fundamentals of Queueing Theory (third edition) by D. Gross and C. Harris is THE classic queueing text book. It is up-to-date, thorough, rigorous, intuitive, and even fun to read (for the mathematically inclined). This book can be read at different levels, none of them easy. It is intended for an audience of graduate students in operations research, industrial engineering, management science, or mathematics. There are other excellent queueing books out there, but this has to be the overall best seller! Highly recommended.
Customer Reviews:
Not for the weak!.......2007-01-19
This was assigned for my Computer Modeling class after a hiatus away from classes and advanced math. Talk about a shell shock!
This is a book of theory, and treats itself as such. You'll see pages upon pages of formulas, abstract designs, and altogether nasty proofs. A strong background in math and probability is a must.
This book is old, and few would consider a Computer Science book written in the 1970's to ber of much value today. True, some of the more modern advances are not here, but the classical methods are done and explained so well that's there's still much to gain by reading it.
Still up to date.......2006-12-09
Since this book was published in 1975, and since queueing theory has expanded enormously since then, one might think that this book (Queueing Systems, Volume 1) would be hopelessly out of date. It's not! Of course, no method developed after 1975 is included. But, if one is learning queueing, this book is still essential reading. Some of the topics are not well presented anywhere else, and other topics receive a presentation that is very special. This is a terrific book to learn from. The author's writing style is friendly and the choice of topics is excellent. This is an ESSENTIAL book for any queueing theory library.
A Queuing Theory text you can easily follow.......2000-07-18
This is the most easy to follow yet comprehensive book on queuing theory I have seen. I read it cover to cover - most unusual for a mathematical text book. It fully explains the concepts it develops step-by-step and gave me a full enough understanding to develop the analyses I needed for my own research on computer networks - moreso than any other reference I have used.
*THE* Book for Queuing Theory.......2000-03-28
Leonard Kleinrock's "Queuing Systems", is *THE* book for any person interested in Queuing Theory. However, the reader should have a working knowledge of probability theory to be able to exploit this book fully. The theory is presented in an easily comprehensible form, and derivations of results are present in good mathematical detail. This book is widely referred to, in many technical publications.
Amazon.com
This text is a classic in probability, statistics, and estimation and in the application of these fields to modern engineering problems. Probability, Random Variables, and Stochastic Processes assumes a strong college mathematics background. The first half of the text develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. Topics in the first section include probability distributions and densities, random variables and vectors, expectations, covariance, correlations, functions of random variables and vectors, and conditional distributions and densities. In this third edition of the text, the second half of the book has been substantially updated and expanded to include new or revised discussions of the following topics: mean square estimation, likelihood tests, maximum entropy methods, Monte Carlo techniques, spectral representations and estimation, sampling theory, bispectra and system identification, cyclostationary processes, deterministic signals in noise, and the Wiener and Kalman filters. Probability, Random Variables, and Stochastic Processes covers a remarkable density of material and the clarity of both presentation and notation make this book invaluable as a text and a reference.
Book Description
The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.
Customer Reviews:
Papoulis should never be allowed to write a book again.......2006-11-29
Absolutely fails as a text book. This book offers absolutely no flow whatsoever for a student to follow. Papoulis didn't write this book for a student, he wrote it for a peer to discuss over tea to showcase how much he can squeeze into 800 pages. Apprently, quality over quantity means absolutely nothing to this guy.
If you want a good textbook on random variables, try Peebles. Each topic in Peebles is coherently presented followed by a numerical example that's easily understood.
Yes this book covers alot of ground, but it does a horrible job explaining just about everything it covers.
Not for the beginner.......2006-09-09
I bought this book because it is a classic. It is hard reading, the style is dry and somewhat bloated, a combination that makes you dislike the author immediately. That is a shame, for the author is clearly very knowledgeable. If only he had tried to be a bit friendlier, try to TEACH instead of PREACH...
Definitely NOT for beginners, not even for intermediate level readers.
Very formal treatment, use this if you also have a tutor / professor.......2006-03-20
Im writing this review because I felt most of the other reviews here were unfair. If you are not interested in the subject, you'll find any text on random processes bad!
Anyway, the text book is a very formal treatment of the subject - and is a good accompaniment if you have access to a professor or tutor you can discuss things over with. If you are planning to read this up on your own, it's hard. The exercises are good and must be attempted to understand the subject. Get a solutions manual from somewhere to verify your work.
I hate probability now; don't even mention random variables.......2006-02-13
Oh my goodness, what did I get myself into. I had taken a statistics and probability class before and breezed through it no problem. A+ for the class, and I even missed some classes. So I decided I should take a higher level course in probability and random variables. Numbers are fun, right? WRONG. This book will completely turn you off to anything related to probability and random variables, if you are a beginner. If you don't have an intrinsic love for probability and random variables already, then I recommend choosing another book. Basically what is wrong with this book has already been outlined by the reviewers that gave this one 1 or 2 stars. Difficulty in comprehending mainly because:
1) Barely any practical applications (e.g. number examples) A lot of the examples in the book and even the problems will present you a "general" problem to solve, meaning no numerical values, but 'k' and 'n' and such. Very abstract!
2) Errors. I didn't even know there were errors in this book until my instructor pointed them out. Heck, how are you supposed to learn if you don't spot the errors and take them as truth!
3) Pre-bed time reading material. Very boring and dry like another reviewer has said. I cannot fathom anyone enjoying a page of this book. Dictionaries are more fun to read; at least I would take something with me. My own eagerness to do well in class is stifled by this book, making me ask myself why I must endure this torture.
This book is too advanced for beginners, and will not promote healthy learning of the material. Please read a few of the low star reviews for better alternatives. If you must take a class that uses this book, I suggest paying attention 100% in class and prayer. My instructor uses slides from Pillai, and even those had errors in it. I am glad to hear I am not alone on this one.
Choose another book.......2005-10-26
Very poorly written unless you already understand the topic.
Book is heavy on poorly explained theory and provides very little in the way of practical applications or examples.
Far too many errors that even the errata card doesn't address.
Book Description
This manual contains all the problems to Leonard Kleinrock's Queueing Systems, Volume One, and their solutions. The manual offers a concise introduction so that it can be used independently from the text. Contents include:
- A Queueing Theory Primer
- Random Processes
- Birth-Death Queueing Systems
- Markovian Queues
- The Queue M/G/1
- The Queue G/M/m
- The Queue G/G/1
Customer Reviews:
Great book for a new student in Queueing Theory.......2000-04-06
I am taking a course in Queuing theory this semester and I find it an invaluable companion. This book has increased my understanding of Queueing Theory and I have learnt to enhjoy the subject through this book.
Book Description
Critically acclaimed text for computer performance analysis--now in its second edition
The Second Edition of this now-classic text provides a current and thorough treatment of queueing systems, queueing networks, continuous and discrete-time Markov chains, and simulation. Thoroughly updated with new content, as well as new problems and worked examples, the text offers readers both the theory and practical guidance needed to conduct performance and reliability evaluations of computer, communication, and manufacturing systems.
Starting with basic probability theory, the text sets the foundation for the more complicated topics of queueing networks and Markov chains, using applications and examples to illustrate key points. Designed to engage the reader and build practical performance analysis skills, the text features a wealth of problems that mirror actual industry challenges.
New features of the Second Edition include:
* Chapter examining simulation methods and applications
* Performance analysis applications for wireless, Internet, J2EE, and Kanban systems
* Latest material on non-Markovian and fluid stochastic Petri nets, as well as solution techniques for Markov regenerative processes
* Updated discussions of new and popular performance analysis tools, including ns-2 and OPNET
* New and current real-world examples, including DiffServ routers in the Internet and cellular mobile networks
With the rapidly growing complexity of computer and communication systems, the need for this text, which expertly mixes theory and practice, is tremendous. Graduate and advanced undergraduate students in computer science will find the extensive use of examples and problems to be vital in mastering both the basics and the fine points of the field, while industry professionals will find the text essential for developing systems that comply with industry standards and regulations.
Customer Reviews:
Fine addition to the literature.......2001-04-29
The authors give a nice overview of computer performance evaluation using queueing theory and continuous and discrete-time Markov chains. After a short review of the relevant probability and statistics, the authors discuss Markov chains in the second chapter, pointing out that Markov processes can be used to model queueing systems even when these systems have behavior governed by non-exponential distributions. They characterize these as Markovizing methods. Their treatment of both discrete and continuous time Markov models is short but adequate, covering all the necessary concepts such as ergodicity and irreducibility. They then give a thorough discussion of the modeling process as actually done in practice. Their discussion of model sizing sets up their methodologies for dealing with large models later in the book. Performance measures for system requirements are discussed in terms of Markov reward models. Their treatment here is very detailed and they also give a large collection of helpful references on the subject.Petri nets are also discussed in the context of model generation. The authors state, correctly I think, that more time should be spent of developing models rather than the underlying mathematics. In their treatment of networks with non-exponential service time and interarrival time distributions, the authors employ the diffusion approximation via the solution of the Fokker-Planck equation. The don't discuss this in detail but give references for those who can read German. This would have been a place for a detailed analysis and derivation, given the surprising introduction of the Fokker-Planck equation in queueing theory. They also use, interestingly, maximum entropy methods to get approximate solutions of open and closed queueing networks. A very short chapter on optimization is given in the next chapter, which could stand to be more lengthy given the importance of this in implementing networks commercially. The next chapter covers some of the performance tools that are available for studying networks. The Performance Evaluation and Prediction System (PEPSY), stochastic Petri net package (SPNP), the CSPL language, the Model Description Language (MOSEL), the symbolic hierarchical automated reliability performance evaluator (SHARPE) are discussed with examples of each. Readers not having these tools will of course will not benefit too much from reading this chapter, except for maybe to get an idea of what is available. The OPNET and Ns-simulator packages,which are very nice modeling tools are not treated at all for some reason.
The last chapter covers applications, with case studies of queueing networks, Markov chains, stochastic Petri nets, and hierarchical models. Although of somewhat limited value in practice, the examples given do give the reader an idea of how the material in the book can be applied. And here again, the authors stress the use of modeling packages such as SHARPE and PEPSY, to verify the calculations in the case studies. They consider a closed non-product form queueing model of a medium-sized LAN in some detail with Ethernet links and a FDDI ring, solving it using Marie's method. Also interesting is their model of the UNIX operating system, which is also represented by a closed non-product queueing network. They compare the computation time needed to solve the model using CTMC, shadow, and DES techniques. Although the discussion is rather hurried, their model of an ATM network is also interesting, in that they use Markov reward models, obtaining both the state and transient solutions.
The book is one that will be of great assistance to those doing network modeling, performance analysis, and other time-scheduling modeling activiites. It is somewhat expensive, but worth the price I think considering the care which the authors take in their exposition.
Review of Queueing Networks and Markov Chains.......2000-04-16
Queueing Networks and Markov Chains is a scholarly book written by internationally recognized experts in their field. The book provides both basic concepts and complex topics. The book is embellished with multiple illustrations, solved examples, and problems. In my opinion this book should be useful to researchers and practitioners of the queueing theory discipline as a convenient reference, and to students as a useful textbook. Look at the price! It's worth it.
Average customer rating:
|
Queueing theory, a problem solving approach
Leonard Gorney
Manufacturer: Petrocelli Books
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Binding: Unknown Binding
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ASIN: 0894331280 |
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Queueing Systems: Problems and Solutions
Fundamentals of Queueing Theory (Wiley Series in Probability and Statistics)
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