The research about video surveillance platform based on cloud computing
Xiang Chen, Jie-Bin Xu, Weiqiang Guo · 2013
With the rapid development of Smart City, video surveillance platform is a critical part of it now bearing a substantial pressure. The current video surveillance platform appear to have several bottlenecks: overloaded streaming media server, weak tolerant ability and weak in expansion. After an investigation on the architecture of the current stand-alone streaming media server, this paper proposes two new architectures integrated with Hadoop to resolve the aforementioned problems. In the proposed architecture, except the use of Hive and Hbase, streaming media server is designed to be distributed after HDFS, which can also provide streaming data from all of the data nodes. The architecture can completely resolve the problems that a stand-alone streaming media server might not able to deal with.