Web transaction analysis and optimization (TAO)

摘要

In the TAO project we develop metrics, models, and infrastructure to effectively manage the performance of Web applications. We use WebMon, a novel instrumentation tool to obtain profile data for web interactions, from end-user and system component perspectives. Our analysis techniques help determine important classes of web users and their transactions. The analysis is embedded in visualization and optimization modules, enabling efficient reporting for system and business administrators, and automated resource scheduling and planning. In this paper we present an overview of TAO, and highlight some of its novel aspects, e.g., use of pixel-bar charts, web request classification, and integrated demand and capacity planning.