Solving Enterprise Applications Performance Puzzles (ePub)
Queuing Models to the Rescue
(Sprache: Englisch)
Poorly performing enterprise applications are the weakest links in a corporation's management chain, causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art...
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Poorly performing enterprise applications are the weakest links in a corporation's management chain, causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. The book introduces queuing models of enterprise application that visualize, demystify, explain, and solve system performance issues. Analysis of these models will help to discover and clarify unapparent connections and correlations among workloads, hardware architecture, and software parameters.
Inhaltsverzeichnis zu „Solving Enterprise Applications Performance Puzzles (ePub)“
Acknowledgements. Preface. Why I wrote this book? Subject. Audience. Organization. Chapter 1. Queuing networks as application's models. 1.1 Enterprise applications - what do they have in common? 1.2 Key performance indicator - transaction time. 1.3 What is application sizing and tuning? 1.4 Queuing models of enterprise application. 1.5 Transaction response time and transaction profile. 1.6 Network of highways as analogy of queuing model. Chapter 2. Building and solving application models. 2.1 Building models. 2.2 Essentials of queuing networks theory. 2.3 Solving models. 2.4 Interpretation of modeling results. Chapter 3. Workload characterization and transaction profiling. 3.1 What is application workload? 3.2 Workload characterization. 3.3 Business process analysis. 3.4 Mining transactional data from production applications. Chapter 4. Servers, CPUs, and other building blocks of application scalability. 4.1 Application scalability. 4.2 Bottleneck identification. Chapter 5. Operating system overhead. 5.1 Components of operating system. 5.2 Operating system overhead. Chapter 6. Software bottlenecks. 6.1 What is software bottleneck. 6.2 Memory bottleneck. 6.3 Thread optimization. 6.4 Other causes of software bottlenecks. Chapter 7. Performance and capacity of virtual systems. 7.1 What is virtualization? 7.2 Hardware virtualization. 7.3 Methodology of virtual machines sizing. Chapter 8. Model-based application sizing - say good-bye to guessing. 8.1 Why model-based sizing? 8.2 Model's input data. 8.3 Mapping system into model. 8.4 Model deliverable and what-if scenarios. Chapter 9. Modeling different application configurations. Glossary. References. Index.
Autoren-Porträt von Leonid Grinshpan
Leonid Grinshpan Ph.D. (Stamford, CT) has been working for Oracle Corporation for more than 14 years as Consulting Technical Director. His customers include Dell, Citibank, Verizon, Clorox, Bank of America, AT&T, Best Buy, Aetna and many other major enterprises. He obtained Ph.D. in queuing models of computer systems from Russian Academy of Science.
Bibliographische Angaben
- Autor: Leonid Grinshpan
- 2012, 1. Auflage, 256 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118161912
- ISBN-13: 9781118161913
- Erscheinungsdatum: 08.02.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: ePub
- Größe: 6.78 MB
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Sprache:
Englisch
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