In Capacity Planning for Web Services: Metrics, Models, and Methods, two leading Web capacity planning experts introduce quantitative performance predictive models for every major Web scenario -- especially the latest Web services, e-commerce, and mobile applications. Discover how to identify and address potential performance problems, accommodate usage peaks, define service provider SLAs, benchmark effectively -- and optimize every trade-off between cost and performance.
Read More
MenascT (computer science, George Mason U.) and Almeida (computer science, U. of Minas Gerais, Brazil) provide a quantitative analysis of Web service availability and a framework for understanding and planning Web services. They discuss benchmarking, load testing, workload forecasting, and performance modeling. Examples and case studies illustrate the ways each technique can be used in Web services, portals, search engines, and streaming-media applications. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read Less