摘要
为培养学生分析、设计和开发计算机体系结构中机群系统的能力,设计了一个基于Hadoop的大数据处理综合性实验项目。该项目由验证性实验和创新性实验两部分构成,验证性部分由机群系统的部署、HDFS分布式存储、HDFS编程实践和MapReduce分布式计算模块组成;创新性部分可以根据大数据处理技术自由发挥实现。该实验项目的创新性、设计性、应用性和完整性都很强,能激发学生浓厚的实验兴趣、拓展学生知识面。
In order to cultivate students’ ability to analyze, design and develop cluster systems in computer architecture, a comprehensive experimental project of big data processing based on Hadoop is designed. The project consists of two parts:confirmatory experiment and innovative experiment. The confirmatory part consists of a cluster system computing platform design module, HDFS distributed storage module, HDFS programming practice module and MapReduce distributed computing module. The innovative part can be freely developed according to the big data processing technology. The innovation, design and application of the experimental project are very strong, which can stimulate students’ strong experimental interest, and expand students’ knowledge.
作者
马立平
张海燕
Ma Liping;Zhang Haiyan(School of Computer Science and Technology,Southwest University of Science and Technology,Mianyang,Sichuan 621010,China;Wuhan Sanjiang Yuanfan Technology co.,LTD)
出处
《计算机时代》
2023年第3期58-62,共5页
Computer Era
基金
全国高等院校计算机基础教育研究会2022年计算机基础教育教学研究项目(2022-AFCEC-571)
西南科技大学实验技术研究项目(21syjs-20)
四川省科技重点研发项目(2021YFG0031)
四川省省级科研院所科技成果转化项目(22YSZH0021)。
