摘要
针对目前广域级的视频监控项目遇到的各种问题,设计了一种基于SOA架构和云计算技术的视频监控综合业务平台。采用云计算中的虚拟化技术对平台底层中多种异构软硬件资源进行整合管理,采用HDFS分布式文件系统和HBase分布式存储系统对海量视频数据进行高效的分布式存储管理,采用MapReduce分布式编程框架实现用户业务的分布式并行处理与资源调度。在此基础上,众多用户业务最终实现为云服务并在SOA架构下部署成为分布式系统,有效实现业务流程的整合及融合。
To solve the problems encountered in the WAN-class video surveillance projects, a new video surveillance integrated service platform based on SOA architecture and cloud computing technologies is presented. In this platform, virtualization tech- nology is used to get the unified organization for various types of heterogeneous hardware and software, while the HDFS and HBase technologies are used to get the efficient distributed storage and management for massive video data, and the MapReduce technology is used to get the distributed paralleled processing for user service and resource scheduling. Different user services comes into or being combined into cloud service under SOA architecture and these cloud computing technologies.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第5期1657-1662,共6页
Computer Engineering and Design
基金
广东省教育部产学研结合基金项目(2011B090400622)
关键词
广域
视频综合平台
面向服务的体系架构
云计算
HADOOP分布式文件系统
分布式编程框架
WAN-class
video surveillance integrated service platform
service oriented architecture （SOA）
cloud computing
Hadoop distributed file system （HDFS）
MapReduce
