A cloud Computation Architecture for Unconventional Emergency Management

With the development of technologies and the deterioration of natural environment, unconventional emergencies outbreak more unexpectedly and diffuse more quickly and broadly. Secondary and derived disasters increase, and the impacts tend to be indirect and tremendous. Emergency management decisions are facing great challenges, and have attracted great concerns from government departments, academia and industries. In recent years, as a service-oriented computing mode, the cloud computing technology brings advantage in information sharing, resource allocating, and distributed high-performance computing, which makes it a feasible solution to unconventional emergency management, research, quick response and decision support. In this paper, we propose a cloud computation architecture for unconventional emergency management, which involves the key technologies including computation resource pooling, scalable extension of computation resource and services and user-centroid service management. The proposed architecture supports multilevel demand in computation and storage resource by providing services such as virtual machine, big data storage, web information detection and spatio-temporal data visualization. Three experimental scenarios are designed to validate the improvement of decision support capabilities and emergency response speed.