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,该文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地承担了大数据技术实验的教学任务,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: To build a new experimental teaching system that meets the needs of talent cultivation in the new era, promote deep sharing of general computing resources, reduce university infrastructure investment, and leverage the enabling role of digitalization, this paper studies a general open platform based on computing resource integration. With big data technology experiments as the main service object, it proposes an open platform construction scheme integrating an information computing resource pool with open source technology, designs the system architecture and functional framework, deeply integrates key technologies such as virtualized batch processing and visual control, and discusses the experimental workflow and innovative practical teaching model of the general open platform. Practice shows that the construction of the open platform effectively undertakes the teaching tasks of big data technology experiments, benefits discipline competitions and faculty scientific research in terms of computing resource demands, and provides a useful reference for the construction of general open platforms in universities.

     

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