Performance by Design: Computer Capacity Planning By Example - Softcover

Menasce, Daniel A.

Softcover

ISBN 10: 0130906735 ISBN 13: 9780130906731

Publisher: Prentice Hall, 2004

Synopsis

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.

About this title

About the Author

Lawrence W. Dowdy is Professor and former Chair of Computer Science at Vanderbilt University.

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 priority

About the Web Site

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

Edition details

• Publisher: Prentice Hall
• Publication date: 2004
• Language: English
• ISBN 10: 0130906735
• ISBN 13: 9780130906731
• Binding: Paperback
• Edition number: 1
• Number of pages: 476