Capacity Planning for Web Services: Metrics, Models, and Methods
The #1 guide to Web capacity planning -- now completely updated!A quantitative analysis of Web service availabilityAn integrated coverage of benchmarking, load testing, workload forecasting, and performance modeling of Web servicesExample and case studies show how to use each technique in the latest Web services, portals, search engines, mobile and streaming-media applicationsA quantitative framework for planning the capacity of Web services and understanding their behaviorThe 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 Methodsintroduces 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 challengesState-of-the-art capacity planning methodologiesSpreadsheets implement the solutions of the models presenteed in the bookSpecific issues and workloads associated with HTTP and TCP/IP protocolsBenchmarking current performance at system and component levelsFrom 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.