Capacity Planning for Web Services
Metrics, models, and methods
Daniel A. Menascé, Virgilio A. F. Almeida
572 pages, parution le 01/09/2001
Résumé
The #1 guide to Web capacity planning — now
completely updated!
2. Protocols and Interaction Models for Web Services.
3. Basic Performance Concepts.
4. Performance Issues of Web Services.
5. Planning the Capacity of Web Services.
6. Understanding and Characterizing the Workload.
7. Benchmarks and Performance Tests.
8. System-Level Performance Models.
9. Component-Level Performance Models.
10. Web Performance Modeling.
11. Availability of Web Services.
12. Workload Forecasting.
13. Measuring Performance.
14. Wrapping Up.
Appendix A: Glossary of Terms.
Appendix B: Downloads.
Index.
- A quantitative analysis of Web service availability
- An integrated coverage of benchmarking, load testing, workload forecasting, and performance modeling of Web services
- Example and case studies show how to use each technique in the latest Web services, portals, search engines, mobile and streaming-media applications
- A quantitative framework for planning the capacity of Web services and understanding their behavior
The world's #1 book on Web capacity planning now covers the latest Web services, e-business, and mobile applications! Capacity Planning for Web Services: Metrics, Models, and Methods introduces quantitative performance predictive models for every major Web scenario, showing precisely how to identify and address both potential and actual performance problems. Coverage includes:
- Web services: protocols, interaction models, and unique performance, reliability, and availability challenges
- State-of-the-art capacity planning methodologies
- Spreadsheets implement the solutions of the models presenteed in the book
- Specific issues and workloads associated with HTTP and TCP/IP protocols
- Benchmarking current performance at system and component levels
From accommodating current usage peaks to defining service provider SLAs, Daniel A. Menasce and Virgilio Almeida cover every aspect of capacity planning — helping you optimize every tradeoff between cost and performance.
Contents
Preface.
About the Authors.
1. When Web Performance Is a Problem.
Introduction. Web Site
Performance. Client/Server Performance. The Capacity
Planning Concept. Corporate Portal Performance. ISP
Performance. Concluding Remarks.
2. Protocols and Interaction Models for Web Services.
Introduction. The World of
Networks. The World of Clients and Servers. The
Peer-to-Peer Model. Web Service Protocols. Concluding
Remarks.
3. Basic Performance Concepts.
Introduction. The Big
Picture of Response Time. Service Times and Service
Demands. Web Page Download Time. Queues and Contention.
Some Basic Performance Results. Performance Metrics in Web
Systems. Concluding Remarks.
4. Performance Issues of Web Services.
Introduction. From Boxes
to Services. Perception of Performance. Where Are the
Delays? Web Infrastructure. Server Architectures. Networks.
Concluding Remarks.
5. Planning the Capacity of Web Services.
Introduction. Adequate
Capacity. A Capacity Planning Methodology for Web Services.
Understanding the Environment. Workload Characterization.
Workload Forecasting. Performance/Availability Modeling and
Prediction. Development of a Cost Model. Cost/Performance
Analysis. Concluding Remarks.
6. Understanding and Characterizing the Workload.
Introduction.
Characterizing the Workload of a Corporate Portal. A
WorkloadCharacterization Methodology. Web Workloads.
Concluding Remarks.
7. Benchmarks and Performance Tests.
Introduction. The Nature
of Benchmarks. Processor Benchmarks. Web Server Benchmarks.
System Benchmarks. Performance Testing. Concluding
Remarks.
8. System-Level Performance Models.
Introduction. Simple
Server Model Infinite Queue. Simple Server Model Finite
Queue. Generalized System-Level Models. Other System-Level
Models. Concluding Remarks.
9. Component-Level Performance Models.
Introduction. Queuing
Networks. Open Systems. Closed Models. Modeling
Multiprocessors. Combining System- and Component-Level
Models. An Intranet Model. Concluding Remarks.
10. Web Performance Modeling.
Introduction.
Incorporating New Phenomena. Client-Side Models.
Server-Side Models. Concluding Remarks.
11. Availability of Web Services.
Introduction. A Motivating
Availability Example. Why and How Systems Fail. Reliability
and Availability Basics. The Reliability of Systems of
Components. Revisiting the Online Broker Example.
Performance and Availability. Software Aging and
Rejuvenation. Concluding Remarks.
12. Workload Forecasting.
Introduction. Why Workload
Changes? Forecasting Strategy. Forecasting Process.
Forecasting Techniques. Concluding Remarks.
13. Measuring Performance.
Introduction. Performance
Measurement Framework. The Meaning of Measurements.
Measurement Process. Data Collection Techniques and Tools.
Performance Model Parameters. Obtaining Model Parameters.
Concluding Remarks.
14. Wrapping Up.
Introduction.
Characteristics of Large-Scale Systems. Model-Based
Approach. Concluding Remarks.
Appendix A: Glossary of Terms.
Appendix B: Downloads.
The Microsoft Excel
Workbooks. HTTP Log Sample and Program.
Index.
L'auteur - Virgilio A. F. Almeida
Virgilio A. F. Almeida
is Professor of Computer Science at the Federal University of Minas Gerais, Brazil, and formerly held visiting positions at Xerox PARC and Boston University.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Prentice Hall |
| Auteur(s) | Daniel A. Menascé, Virgilio A. F. Almeida |
| Parution | 01/09/2001 |
| Nb. de pages | 572 |
| Format | 18,5 x 24,2 |
| Couverture | Relié |
| Poids | 1372g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780130659033 |
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