面向大数据实验的通用开放平台构建与实践

Construction and Practice of A General Open Platform for Big Data Experiments

  • 摘要: 为建设适应新时代人才培养需求的新型实验教学体系,促进通用计算资源深度共享,节约高校基础设施投入,发挥数字化赋能作用,研究了基于计算资源整合的通用开放平台,以大数据技术实验为主要服务对象,提出了融合信息化计算资源池与开源技术的开放平台建设方案,设计了系统结构和功能架构,针对虚拟化批量处理与可视化操控技术等关键技术进行深化集成,并对通用开放平台的实验流程、创新实践教学模式进行探讨。实践表明,开放平台的构建有效的承担了大数据技术实验的教学任务,其辐射能力惠及学科竞赛与教师科研对计算资源的需求,为高校通用开放平台的建设提供有益参考。

     

    Abstract: In order to build a new experimental teaching system that meets the needs of talent training in the new era, promote the deep sharing of general computing resources, save the investment in university infrastructure, and play the role of digital empowerment, a general open platform based on the integration of computing resources is studied, with big data technology experiments as the main service object. An open platform construction scheme integrating information computing resource pool and open source technology is proposed, the system structure and functional architecture are designed, the key technologies such as virtual batch processing and visual control technology are further integrated, and the experimental process and innovative practice teaching mode of the general open platform are discussed. Practice has shown that the construction of open platform effectively undertakes the teaching task of big data technology experiments, and its radiation ability benefits the needs of computing resources for discipline competitions and teachers' scientific research, providing a useful reference for the construction of a general open platform in universities.

     

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