Performance stress vectors and capacity planning for e-commerce applications

Abstract.

Computing systems are essential resources for both the business and public sectors. With the increasing interdependence of integrated electronic commerce and business applications within the global computing environment, performance and reliability are of great concern. Poor performance can mean lost cooperation, opportunity, and revenue. This paper describes performance challenges that these applications face over the short and long term. We present an analytic technique that can predict the performance of an e-commerce application over a given deployment period. This technique can be used to deduce performance stress testing vectors over this period and for design and capacity planning exercises. A Web-based shopping server case study is used as an example.