Military Simulation Big Data: Background, State of the Art, and Challenges

Xiao Song, Yulin Wu, Yaofei Ma, Yong Cui and Guanghong Gong

Mathematical Problems in Engineering, 2015, vol. 2015, 1-20

Abstract:

Big data technology has undergone rapid development and attained great success in the business field. Military simulation (MS) is another application domain producing massive datasets created by high-resolution models and large-scale simulations. It is used to study complicated problems such as weapon systems acquisition, combat analysis, and military training. This paper firstly reviewed several large-scale military simulations producing big data (MS big data) for a variety of usages and summarized the main characteristics of result data. Then we looked at the technical details involving the generation, collection, processing, and analysis of MS big data. Two frameworks were also surveyed to trace the development of the underlying software platform. Finally, we identified some key challenges and proposed a framework as a basis for future work. This framework considered both the simulation and big data management at the same time based on layered and service oriented architectures. The objective of this review is to help interested researchers learn the key points of MS big data and provide references for tackling the big data problem and performing further research.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:298356

DOI: 10.1155/2015/298356

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