{"title":"The Application of MapReduce in the Cloud Computing","authors":"Gaizhen Yang","doi":"10.1109/IPTC.2011.46","DOIUrl":null,"url":null,"abstract":"Hadoop provides a sophisticated framework for cloud platform programmers, which, MapReduce is a programming model for large-scale data sets of parallel computing. By MapReduce distributed processing framework, we are not only capable of handling large-scale data, and can hide a lot of tedious details, scalability is also wonderful. This paper analyzes the Hadoop architecture and MapReduce Working principle, described how to perform a MapReduce job in the cloud platform, how to write Mapper and Reducer classes, and how to use the object, proposed a program based on the MapReduce framework that enables distributed programming, Comparison results show that use of MapReduce architecture simplifies distributed programming.","PeriodicalId":388589,"journal":{"name":"2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTC.2011.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
Hadoop provides a sophisticated framework for cloud platform programmers, which, MapReduce is a programming model for large-scale data sets of parallel computing. By MapReduce distributed processing framework, we are not only capable of handling large-scale data, and can hide a lot of tedious details, scalability is also wonderful. This paper analyzes the Hadoop architecture and MapReduce Working principle, described how to perform a MapReduce job in the cloud platform, how to write Mapper and Reducer classes, and how to use the object, proposed a program based on the MapReduce framework that enables distributed programming, Comparison results show that use of MapReduce architecture simplifies distributed programming.
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