An Architecture for Video Surveillance Service based on P2P and Cloud Computing

Video Surveillance Services is increasingly becoming important part in daily live. For traditional distributed Video Surveillance Services, each video catcher will store its streaming data to server. It will create a great volume of data daily. The approach obviously incurs some problems in keeping daily data into the data center (DC), such as limited bandwidth to DC, limited space of DC, overloading to DC, reliability, scalability, and so on. In this paper, we propose a novel architecture based on well-developed peer to peer technology and emerging cloud computing for solving the issues. The architecture exploits inherent characteristics of P2P and Cloud computing to provide an economic, scalable, reliable and efficient approach to store video data. We present the architecture, components, its operation flow, and depict the implementation issue in this paper. We believe that the architecture can improve significantly issues.