Web Application System Optimization Design Based On Performance And Scalability

A Web application system based on B/S (Browse/Server) pattern builds on the three tiers or n tiers; it adopts dynamic Web technology to provide enterprise an information resource integration manner on the Internet/Intranet. In virtue of lower hardware demands, shorter development cycle, nicer extensibility and maintenance, it attracts large quantities of users, and becoms the preferred technology for enterprise information. With being used widely, the enterprise level Web application system exposes some problems that could not be ignored: such as system security is not easily control1ed, response speed is slow, etc. A Web application system will be published on Internet/Intranet, and Internet technology has improved the network speed, but users still show a higher demand on the response speed of a Web application system.Performance and scalability are the two main system parameters influencing the response time of a Web application system, they have essential differences and close relations. The causations that result in performance and scalability bottle-necks of a Web application system based on J2EE (Java 2 Platform, Enterprise Edition) are complex, which are latent shortcomings of the platform itself, developer's(Java 2 Platform, Enterprise Edition) technology and outing run environment. The Web application system optimization design technology based on performance and scalability takes Sun's J2EE as development platform, emphasizes to apply system methods to avoid and eliminates bottle-necks from all the development steps, and pays more attention to discussing of the optimization measures and methods on system design, coding, system performance and scalability tuning. The Central-China Power Network electricity computation Stat system is an enterprise level Web application system based on J2EE platform, the optimization design technology based on performance and scalability is used successfully in its second edition development. A series of optimization measures reduces its response time, not only improves its performance and scalability, but also builds up the system's stability, satisfies the user's demands.