Capacity Planning for Web Services Metrics, Models, and Methods

The #1 guide to Web capacity planning -- now completely updated! bull; bull;A quantitative analysis of Web service availability bull;An integrated coverage of benchmarking, load testing, workload forecasting, and performance modeling of Web services bull;Example and case studies show how to use each technique in the latest Web services, portals, search engines, mobile and streaming-media applications bull;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: bull; bull;Web services: proTOCols, interaction models, and unique performance, reliability, and availability challenges bull;State-of-the-art capacity planning methodologies bull;Spreadsheets implement the solutions of the models presenteed in the book bull;Specific issues and workloads associated with HTTP and TCP/IP proTOCols bull;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.

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).