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Performance By Design Computer Capacity Planning By Example Daniel A Menasce

  • SKU: BELL-979728
Performance By Design Computer Capacity Planning By Example Daniel A Menasce
$ 31.00 $ 45.00 (-31%)

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Performance By Design Computer Capacity Planning By Example Daniel A Menasce instant download after payment.

Publisher: Prentice Hall
File Extension: CHM
File size: 3.02 MB
Pages: 552
Author: Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.F. Almeida
ISBN: 9780130906731, 0130906735
Language: English
Year: 2004

Product desciption

Performance By Design Computer Capacity Planning By Example Daniel A Menasce by Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.f. Almeida 9780130906731, 0130906735 instant download after payment.

Practical systems modeling: planning performance, availability, security, and moreComputing 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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