Zhao, Y.-N. and Zhao, H., 2019. Research on the management model of marine economic information resources in the big data era based on cloud computing. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 316–320. Coconut Creek (Florida), ISSN 0749-0208.

Marine economic information resources are the basis for the planning, management, protection and rational utilization of marine resources, as well as the important support for economic development and marine development in coastal areas. It has become a very necessary task and a hot topic in academic research as how to carry out “big data” management of marine economic information resources and analyze and deal with “big data” efficiently and accurately through appropriate cloud resource scheduling strategies. Based on the analysis of the cloud computing resource scheduling system, this paper designs a dynamic scheduling framework for adaptive optimization of cloud computing resources by using the cloud computing and cloud service technology, and gives a specific structure and form of the framework system for marine information resources. The cloud management architecture has initially realized the digital cloud management of marine economic information resources, achieved the sharing of marine information resources and service resources, and made the selection and calling process of cloud resource scheduling methods more reasonable.