Abstract:
Aiming at the problems of the mass images can cause to Web site such as lower access speed, more performance pressure, I/O performance bottleneck, etc., a technology of distributed store and load balance for mass images is proposed. By the means of deploying Web site pages and images separately and recording status of image servers in database, solves the problem of separation for image data and page data. Experimental result shows that the solution can improve the access speeds and running efficiency for Web site, and can add additional image servers to meet the increasing performance demands.
Key words:
mass images,
distributed store,
load balance
摘要: 针对海量图片给网站带来的访问速度下降、性能压力增大和I/O瓶颈等问题,提出一种海量图片的分布式存储及负载均衡技术。通过把图片数据和网站内容分开部署、在数据库中记录和维护图片服务器状态信息等方法实现图片和页面数据的分离。实验结果表明,该技术能提高网站的访问速度和运行效率,并可动态增加图片服务器的数量满足日益增加的性能需求。
关键词:
海量图片,
分布式存储,
负载均衡
CLC Number:
SHU Xiao-Hui, WANG Jie-Hua, DAN Zhen-Guo, CHEN Su-Rong. Research on Distributed Store and Load Balance of Mass Images[J]. Computer Engineering, 2010, 36(23): 47-49,52.
朱晓辉, 王杰华, 石振国, 陈苏蓉. 海量图片的分布式存储及负载均衡研究[J]. 计算机工程, 2010, 36(23): 47-49,52.