Performance by Design: Computer Capacity Planning By Example

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Performance by Design: Computer Capacity Planning By Example

Performance by Design: Computer Capacity Planning By Example
480 pages | Prentice Hall PTR (January 15, 2004) | 0130906735 | CHM | 3 Mb

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

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