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“分布式计算与开发模式”综合设计性实验案例 被引量:5

Case of comprehensive design experiment for “Distributed computing and development model”
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摘要 针对面向计算机专业本科生开设的"分布式计算与开发模式"专业课的特点和大纲要求,设计了该综合设计性实验.该实验在Windows系统下,使用Hadoop分布框架和Eclipse快速开发平台,实现了地震数据集的统计任务.对实验目的、任务要求、实验方法和步骤、算法流程等进行了详细介绍.实践结果表明,通过此综合设计性实验,学生的实验积极性和对分布式计算的掌握程度大大提高. In view of the characteristics and outline requirements of the “Distributed computing and development model” course for undergraduates majoring in computer science, this comprehensive design experiment is designed. This experiment realizes the statistical task of seismic data set under Windows system by using the Hadoop distribution framework and Eclipse rapid development platform. The experimental purpose, task requirements, experimental methods and procedures and algorithm flow are introduced in detail. Practical results show that through this comprehensive design experiment, students’ experimental enthusiasm and mastery of distributed computing are greatly improved.
作者 杨丹 张晶 赵骥 王刚 YANG Dan;ZHANG Jing;ZHAO JI;WANG Gang(School of Software, University of Science and Technology Liaoning, Anshan 114051, China)
出处 《实验技术与管理》 CAS 北大核心 2019年第10期197-200,共4页 Experimental Technology and Management
基金 教育部“数启科教智见未来”产教联合基金项目(2017B00007) 教育部产学合作协同育人项目(201702124017,201702124008) 辽宁省创新创业教育改革试点专业项目(辽教函[2017]838号) 辽宁省普通本科高等学校向应用型转变示范专业项目(辽教函[2017]779号) 辽宁省普通高等教育本科教学改革研究项目(辽教函[2018]471号) 辽宁科技大学研究生教育改革与创新项目(2016YJSCX20)
关键词 分布式计算 综合设计性实验 HADOOP MAPREDUCE distributed computing comprehensive design experiment Hadoop MapReduce
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  • 1江小平,李成华,向文,张新访,颜海涛.k-means聚类算法的MapReduce并行化实现[J].华中科技大学学报(自然科学版),2011,39(S1):120-124. 被引量:79
  • 2Dean J, SGhemawat J. MapReduce: Simplified Data Processing on Large Clusters[C] //Proc. of OSDI. 2004:137-150.
  • 3Kovoor G, Singer J, I.ujan M. Building a Java MapReduee Framework for Multi-core Arehitectures[C] ffProc, of MULTI-PRO(}. 2010.
  • 4Dean J, Ghemawat S. MapReduce.. A Flexible Data Processing Tool[J]. CACM,2010,53(1) ..72-77.
  • 5Agrawal R,Imielinski T,Swami A.Mining association rules between sets of itemsin large database.Proceedings of ACM SIGMOD,1993:207-216.
  • 6Eirinaki M,Vazirgiannis M,Kapogiannis D.Web path recommendations based on page ranking and Markov models.Proceedingsof the 7th Annual ACM International Workshop on Web Information and Data Management.Bremen,Germany,2005.
  • 7Salton G..Automatic Text Processing.Addison-Wesley,1989.
  • 8分词系统研究完整版(ICTCLAS)-百度文库.
  • 9Apache Hadoop.Welcome to ApacheTM HadoopR.http:// hadoop.apache.org.
  • 10Dean J,Ghemawat S.Mapreduce:Simplified data processing on large clusters.US ENIX Association,2004:10-10.

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