{"title":"使用map reduce框架进行高效的数据搜索","authors":"Pratibha P. Dhekale, Nilima Jichkar","doi":"10.1109/STARTUP.2016.7583980","DOIUrl":null,"url":null,"abstract":"In data centric organization, cloud is used as a computational and storage purpose. But the main problem of this organization is data retrieving in efficient manner. To solve this problem a framework is required to retrieve data from thousands of machine. The main purpose is to design a web server in the map phase which will give a fast and efficient way of retrieving data. In Hadoop architecture, MapReduce is a programming model and HDFS is a file system which is used for storing large data.","PeriodicalId":355852,"journal":{"name":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Efficient data search using map reduce framework\",\"authors\":\"Pratibha P. Dhekale, Nilima Jichkar\",\"doi\":\"10.1109/STARTUP.2016.7583980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In data centric organization, cloud is used as a computational and storage purpose. But the main problem of this organization is data retrieving in efficient manner. To solve this problem a framework is required to retrieve data from thousands of machine. The main purpose is to design a web server in the map phase which will give a fast and efficient way of retrieving data. In Hadoop architecture, MapReduce is a programming model and HDFS is a file system which is used for storing large data.\",\"PeriodicalId\":355852,\"journal\":{\"name\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STARTUP.2016.7583980\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STARTUP.2016.7583980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In data centric organization, cloud is used as a computational and storage purpose. But the main problem of this organization is data retrieving in efficient manner. To solve this problem a framework is required to retrieve data from thousands of machine. The main purpose is to design a web server in the map phase which will give a fast and efficient way of retrieving data. In Hadoop architecture, MapReduce is a programming model and HDFS is a file system which is used for storing large data.
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