Performance Modeling and Design of Computer Systems

Author: Mor Harchol-Balter
Publisher: Cambridge University Press
ISBN: 1139620134
Format: PDF, Docs
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Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly rigorous and also covering a much wider span of topics than many queueing books. Readers benefit from a lively mix of motivation and intuition, with illustrations, examples and more than 300 exercises – all while acquiring the skills needed to model, analyze and design large-scale systems with good performance and low cost. The exercises are an important feature, teaching research-level counterintuitive lessons in the design of computer systems. The goal is to train readers not only to customize existing analyses but also to invent their own.

Probability Stochastic Processes and Queueing Theory

Author: Randolph Nelson
Publisher: Springer Science & Business Media
ISBN: 1475724268
Format: PDF
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We will occasionally footnote a portion of text with a "**,, to indicate Notes on the that this portion can be initially bypassed. The reasons for bypassing a Text portion of the text include: the subject is a special topic that will not be referenced later, the material can be skipped on first reading, or the level of mathematics is higher than the rest of the text. In cases where a topic is self-contained, we opt to collect the material into an appendix that can be read by students at their leisure. The material in the text cannot be fully assimilated until one makes it Notes on "their own" by applying the material to specific problems. Self-discovery Problems is the best teacher and although they are no substitute for an inquiring mind, problems that explore the subject from different viewpoints can often help the student to think about the material in a uniquely per sonal way. With this in mind, we have made problems an integral part of this work and have attempted to make them interesting as well as informative.

Analyzing Computer System Performance with Perl PDQ

Author: Neil J. Gunther
Publisher: Springer Science & Business Media
ISBN: 3642225837
Format: PDF, Docs
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To solve performance problems in modern computing infrastructures, often comprising thousands of servers running hundreds of applications, spanning multiple tiers, you need tools that go beyond mere reporting. You need tools that enable performance analysis of application workflow across the entire enterprise. That's what PDQ (Pretty Damn Quick) provides. PDQ is an open-source performance analyzer based on the paradigm of queues. Queues are ubiquitous in every computing environment as buffers, and since any application architecture can be represented as a circuit of queueing delays, PDQ is a natural fit for analyzing system performance. Building on the success of the first edition, this considerably expanded second edition now comprises four parts. Part I contains the foundational concepts, as well as a new first chapter that explains the central role of queues in successful performance analysis. Part II provides the basics of queueing theory in a highly intelligible style for the non-mathematician; little more than high-school algebra being required. Part III presents many practical examples of how PDQ can be applied. The PDQ manual has been relegated to an appendix in Part IV, along with solutions to the exercises contained in each chapter. Throughout, the Perl code listings have been newly formatted to improve readability. The PDQ code and updates to the PDQ manual are available from the author's web site at

Fundamentals of Queueing Theory

Author: Donald Gross
Publisher: John Wiley & Sons
ISBN: 1118211642
Format: PDF, Kindle
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Praise for the Third Edition "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented." —IIE Transactions on Operations Engineering Thoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research. This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include: Retrial queues Approximations for queueing networks Numerical inversion of transforms Determining the appropriate number of servers to balance quality and cost of service Each chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site. With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

Computer Networks and Systems

Author: Thomas G. Robertazzi
Publisher: Springer Science & Business Media
ISBN: 1468404733
Format: PDF, Docs
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Statistical performance evaluation has assumed an increasing amount of im portance as we seek to design more and more sophisticated communication and information processing systems. The ability to predict a proposed system's performance without actually having to construct it is an extremely cost effec tive design tool. This book is meant to be a first-year graduate level introduction to the field of statIstical performance evaluation. As such, it covers continuous time queueing theory (chapters 1-4), stochastic Petri networks (chapter 5), and discrete time queueing theory (chapter 6). There is a short appendix at the end of the book that reviews basic probability theory. At Stony Brook, this mate rial would be covered in the second half of a two course sequence (the first half is an applied computer networks course). Students seem to be encouraged to pursue the analytical material of this book if they first have some idea of the potential applications.

Fundamentals of Queueing Networks

Author: Hong Chen
Publisher: Springer Science & Business Media
ISBN: 1475753012
Format: PDF, ePub, Mobi
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This accessible book aims to collect in a single volume the essentials of stochastic networks. Stochastic networks have become widely used as a basic model of many physical systems in a diverse range of fields. Written by leading authors in the field, this book is meant to be used as a reference or supplementary reading by practitioners in operations research, computer systems, communications networks, production planning, and logistics.

Performance by Design

Author: Daniel A. Menascé
Publisher: Prentice Hall Professional
ISBN: 9780130906731
Format: PDF, ePub
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Practical systems modeling: planning performance, availability, security, and more Computing systems must meet increasingly strict Quality of Service (QoS) requirements for performance, availability, security, and maintainability. To achieve these goals, designers, analysts, and capacity planners need a far more thorough understanding of QoS issues, and the implications of their decisions. Now, three leading experts present a complete, application-driven framework for understanding and estimating performance. You'll learn exactly how to map real-life systems to accurate performance models, and use those models to make better decisions--both up front and throughout the entire system lifecycle. Coverage includes: State-of-the-art quantitative analysis techniques, supported by extensive numerical examples and exercises QoS issues in requirements analysis, specification, design, development, testing, deployment, operation, and system evolution Specific scenarios, including e-Business and database services, servers, clusters, and data centers Techniques for identifying potential congestion at both software and hardware levels Performance Engineering concepts and tools Detailed solution techniques including exact and approximate MVA and Markov Chains Modeling of software contention, fork-and-join, service rate variability, and priority About the Web Site The accompanying Web site provides companion Excel workbooks that implement many of the book's algorithms and numerical examples.

Quantitative system performance

Author: Edward D. Lazowska
Publisher: Prentice Hall
Format: PDF, Mobi
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An overview of queueing network modelling. Conducting a modelling study. Fundamental laws. General analytic technique. Bounds on performance. Models with one job class. Models with multiple job classes. Flow equivalence and hierarchical modelling. Representing specific subsystems. Memory. Disk I/O. Processors. Parameterization. Existing systems. Evolving systems. Proposed systems. Perspective. Using queueing network modelling software. Appendices. Constructing a model from RMF data. An implementation of single class, exact MVA. An implementation of multiple class, exact MVA. Load dependent service centers. Index.