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The #1 guide to Web capacity planning -- now completely updated!
- 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.
"This bookis the best guide available to understanding the uniqueperformance challenges involved in delivering today's Web services."
— Mark Crovella,Associate Professor, Boston University;
Technical Director, Network Appliance
"...asuperb starting point for anyone wishing to explore the world of Web performance."
— Jeffrey P. Buzen, President of CMG;
Co-Founder, BGS Systems
"There is no other book like this. It is a first."
— Peter J. Denning, Professor of Computer Science, George Mason University and former President of the ACM
"Web servers have bursty andhighly-skewed load characteristics. This book presents a new way tomodel, analyze, and plan for these new performance problems."
— Jim Gray, Senior Researcher, Microsoft Research;
1998 ACM Turing Award Recipient
"...a welcome approach to the performance analysis of today'sWeb-based Internet. ... no simple and practical treatment has been offered before, andtheirs is a timely contribution."
— Leonard Kleinrock, Professor of Computer Science, UCLA;
Chairman and Founder, Nomadix, Inc.
About the Author
DANIEL A. MENASCÉ is Professor of Computer Science at George Mason Universityand a Fellow of the Association for Computing Machinery. He has consulted extensivelyon Web performance worldwide. Menascé holds a Ph.D. in Computer Science fromUCLA.
VIRGILIO ALMEIDA, Professor of Computer Science at the FederalUniversity of Minas Gerais, Brazil, holds a Ph.D. in Computer Science from VanderbiltUniversity and was formerly a visiting researcher at Xerox PARC and at HP Labs. Menascé and Almeida co-authored Scaling for E-Business (Prentice Hall PTR).
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