A Layered Service Caching Method for Big Data Web Large-screen Visualization

Le résumé fourni par la source

In recent years, constructing a large visual screen system based on Web bas being a trend of enterprise informatization. Such as panoramic visualization monitoring system, user can achieve the global monitoring of the entire enterprise data through a large screen data cockpit. The large screen visualization application has high real-time requirements for data, and many data elements on the screen must be refreshed every few seconds. However, the inherent statelessness and non-real-time characteristics of web may make congestion when the application is accessed concurrently by multiple users, which affects the user experience and the reliability of the system. Starting from the actual characteristics of the industrial panoramic visualization monitoring system, we propose a service-oriented "UI-DATA" two-layer caching method to improve the overall response speed of the system from the perspective of the application system's back-end data and front-end UI services, and then to meet the requirements of periodically page refresh generated by a large number of concurrent user access.

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