Research on the framework of Decision Support Platform for the Lower Yellow River Based on Cloud Computing

Abstract

The decision support platform for the lower Yellow River integrates the models of hydrological, hydrodynamic, sediment transport, reservoir group optimal operation, beach area function planning in order to provide governance and management decision support for managers. To achieve this goal, the platform uses the stability and scalability of cloud computing technology to build a decision support platform for the lower Yellow River Based on cloud computing technology. The platform is composed of IaaS, PaaS and SaaS. The IaaS stores a large number of data resources. The PaaS layer provides services such as scheme management and data management for SaaS layer. Users can call web service interfaces to access required applications. This architecture provides a solution for the water conservancy industry to solve the integration of massive data and water conservancy models.