Authors:
Xin Wang
;
Jie Dai
and
Zheng Xu
Affiliation:
The Third Research Institute of the Ministry of Public Security, China
Keyword(s):
Big Data, Public Security Information Systems, Cloud Platform, Distributed Storage, Distributed Computing, Data Retrieval, Virtualization.
Abstract:
A great variety of public security information systems have been built for the traffic accidents governance, crimes events and terrorist incidents prediction. However, the large-scale redundant construction of systems leads to “great waste of IT resource” and “information overload. Technologies such as big data, cloud computing and virtualization have been applied in the public security industry to solve the above problems. This paper concludes a novel architecture for next generation public security system, and the “front + back” pattern is adopted. Under the architecture, cloud computing technologies such as distributed storage and computing, data retrieval of huge and heterogeneous data are introduced, and multiple optimized strategies to enhance the utilization of resources and efficiency of tasks.