First, the overall structure of cloud computing and big data laboratory

The experimental content design of cloud computing and big data experiment platform is derived from the social talent demand research and experts’ recommendations. Striving for the cultivation of talent in cloud computing and big data meet the needs in cloud computing and big data, virtualization, big data, cloud security. The related R&D in cloud computing and big data can also be launched based on this hardware and software platform.

The cloud computing and big data experiment platform of Haitianxiong Electronic including 5260 gateway, cloud platform, client and application modules. The platform implements the virtualized aggregation and deployment of the underlying server hardware, network devices and storage resources, cooperates with cloud computing and big data management to realize the infrastructure as a service (IaaS) part, and provides a good platform for cloud computing IaaS, PaaS, SaaS, big data management and mining, with the features of high adaptability and expanded space.

Second, the physical layout of cloud computing and big Data Laboratory

The layout design of cloud computing and big data laboratory should be based on the principle of making effective use of laboratory space and facilitating teaching and training. Here we recommend using the most mainstream layout - island layout. Island layout is currently the most popular laboratory layout, each physical training composition of a small island, each group recommended 4 students to use and each with a standard configuration cabinets.

Each experimental group in Haitianxiong cloud computing and big data laboratory takes "4N + 1" teaching platform, namely a resource platform. Four distributed nodes (control nodes, network nodes, compute nodes, storage nodes) allow students to understand the concept of distribution and master the function of each node and core components by practical deployment.