Capacity Planning for Web Services : Metrics, Models, and Methods （REV SUB）

Capacity Planning for Web Services : Metrics, Models, and Methods （REV SUB）

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 572 p.
  • 言語 ENG
  • 商品コード 9780130659033
  • DDC分類 004.2

Full Description


The world's #1 book on Web capacity planning has now been completely revamped to reflect the latest Web services and e-commerce applications, and the latest techniques and technologies for supporting them. In this book, two of the world's leading Web capacity planning experts show how to precisely quantify potential and real performance problems, and address them proactively. Daniel A. Menasce and Virgilio A.F. Almeida introduce quantitative performance predictive models for every major Web scenario -- especially the latest Web services, e-commerce, and mobile applications. The book's extensive coverage of Web services includes protocols and interaction models; unique performance, reliability, and availability challenges; and new capacity planning methodologies. Menasce and Almeida introduce the fundamentals of performance and capacity planning in any client/server environment; specific issues associated with HTTP and TCP/IP protocols; and typical workloads. They demonstrate how to benchmark current performance at both the system and component level; plan future capacity; define service level agreements; accommodate peak usage; and manage tradeoffs 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 Workload Characterization 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.