Performance by Design: Computer Capacity Planning

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9780130906731: Performance by Design: Computer Capacity Planning

An example-driven guide that allows IT practitioners to avoid costly downtime and ensure the quality of systems performance.
Example-driven instruction teaches the reader to conduct effective quantitative analysis of computer systems
Keep computer systems running by anticipating problems before they occur
Practical, real-world solutions to potential problems that covering the entire system lifecycle Individual organizations and society as a whole could face major breakdowns if IT systems do not meet their Quality of Service (QoS) requirements on performance, availability, security, and maintainability. Corporations stand to lose valuable income, and public interests could be put at great risk. System designers and analysts usually do not take QoS requirements into account when designing and/or analyzing computer systems, due mainly to their lack of awareness about the issues that affect performance and the lack of a framework to reason about performance. This book describes how to map real-life systems (e.g., databases, data centers, e-commerce applications) into analytic performance models. The authors elaborate upon these models, and use them to help the reader thoroughly analyze and better understand potential performance issues.

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From the Back Cover:

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 priorityAbout the Web Site
The accompanying Web site provides companion Excel workbooks that implement many of the book's algorithms and numerical examples.

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Book Description Prentice Hall, 2004. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: I. THE PRACTICE OF PERFORMANCE ENGINEERING. 1. Computer System Lifecycle. Introduction. QoS in IT Systems. Response Time. Throughput. Availability. Reliability. Security. Scalability. Extensibility. System Life Cycle. Requirements Analysis and Speci.cation. System Design. System Development. System Testing. System Deployment. System Operation. System Evolution. A Reference Model for IT Systems. Concluding Remarks. Exercises. Bibliography. 2. From Systems to Descriptive Models. Introduction. Modeling. A Simple Database Server Example. The Database Server Example: Multiple Classes. The Database Server Example: Open and Closed Classes. The Database Server Example: a Mixed Model. The Database Server Example: Types of Resources. The Database Server Example: Blocking. The Database Server Example: Software Contention. Database Example: Simultaneous Resource Possession. Database Example: Class Switching. Database Example: Queuing Disciplines. QN Models. Concluding Remarks. Exercises. Bibliography. 3. Quantifying Performance Models. Introduction. Basic Performance Results. Utilization Law. Service Demand Law. The Forced Flow Law. Little's Law. Interactive Response Time Law. Bounds on Performance. Using QN Models. Concluding Remarks. Exercises. Bibliography. 4. Performance Engineering Methodology. Introduction. Performance Engineering. Motivating Example. A Model-based Methodology. <div STY. Bookseller Inventory # ABE_book_new_0130906735

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Book Description Prentice Hall (Higher Education Division, Pearson Education), United States, 2004. Hardback. Book Condition: New. 234 x 185 mm. Language: English . Brand New Book. 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. 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. Bookseller Inventory # AAC9780130906731

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Book Description Prentice Hall (Higher Education Division, Pearson Education), United States, 2004. Hardback. Book Condition: New. 234 x 185 mm. Language: English . Brand New Book. 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. 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. Bookseller Inventory # AAC9780130906731

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