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《Journal of Taiyuan Normal University(Natural Science Edition)》 2013-01
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Study on System Architecture of on-demand Optimal Computation Based on Emergency Event

Li Xiaoya(Institute of Applied Mathematics,Academy of Mathematics and System Sciences,Chinese Academy of Sciences,Beijing 100190,China)  
Based on decision support system for dealing with emergency events,to propose the concept of on-demand optimal computation and build its system architecture.Facing with giant information in an open environment,and related indeterminate service demands,the emergency decision support system is asked to realize the real-time emergency decision-making services which can reduce uncertainties and achieve dynamic optimization functions.To analyze the major difficulties to build a emergency decision support system,and poses four main characteristics of the system,namely:openness,uncertainty,real-time and continuous decision-making.On this basis,to construct the system architecture of on-demand optimal computation,including three levels,namely:fabric,resource,and application.Then to present the theoretical framework,conceptual model and functional structure of the system.
【CateGory Index】: O224
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