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Design and Research of Industry Education Training Platform Based on Cloud Computing

  • Qi Meng,
  • Wenxiao Sang

摘要

In order to leverage the advantages of public resources, improve resource utilization efficiency, and innovate the service mode of public resource platforms, the author designs and implements a cloud computing big data hardware experimental platform suitable for teaching and training, focusing on the core characteristics of cloud computing and big data. The platform adopts a hardware solution of thin terminal+cluster, builds a virtualization platform to meet the needs of ordinary teaching experiments, and constructs a virtualization experimental environment; Building multiple cluster computing environments on this basis to meet the requirements of big data and high-performance computing teaching and training. This platform integrates the characteristics of virtualization and cluster computing, providing a unified solution with features such as integration, high density, multi platform, and high cost-effectiveness.