云计算下载数据耦合富图像浏览系统的研究

Study on the Download Data Rich Image Browsing System Coupling of Cloud Computing

针对传统Web图像浏览存在占用资源大和交互性差的问题,设计了富图像浏览系统,为用户提供界面优良和强交互性的图像浏览体验;且构造了理想的云计算架构,即服务器承担复杂运算,客户端只作为输入输出终端;随后并引入HTML5和JavaScript,实现数据按需加载、图像深度缩放和强交互性;最后对基于此系统下的特大数据量图像深度缩放性能进行研究。实验结果表明,与传统的Web图像浏览方式相比,该系统加载速度加快了350%,下载量减少72%,同时具备更好的用户体验,有效解决了海量数据下载占用大量带宽和弱交互性的问题。

To the problems of large resource occupation and weak interaction exist in the trachtlonal image viewing based on Web, the rich image viewing system based on cloud computing is designed firstly to provide the image viewing experience of excellent interface and strong interaction for users. An ideal architecture of cloud computing is built in which the server is responsible for the complex computation, and the client is an input-output terminal. Then the HTML5 and JavaScript are introduced to realize on-demand downloading of data, image deep zoom and strong interaction; finally, the image depth scaling performance based on this system is researched. Experimental results show that compared with the traditional image viewing based on Web, the rich image viewing system achieves better user experience, the speed of loading rises by 350 %, and the downloads reduce by 72 %. The proposed system effectively solves the problem of taking up a lot of bandwidth and weak interaction.