Efficient data search using map reduce framework

Pratibha P. Dhekale, Nilima Jichkar
{"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}
引用次数: 2

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用map reduce框架进行高效的数据搜索
在以数据为中心的组织中,云被用作计算和存储目的。但该组织的主要问题是如何高效地检索数据。为了解决这个问题,需要一个从数千台机器中检索数据的框架。主要目的是在地图阶段设计一个web服务器,它将提供一种快速有效的检索数据的方式。在Hadoop架构中,MapReduce是一个编程模型,HDFS是一个用于存储大数据的文件系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reconfigurable filtenna in UHF band for cognitive radio application Efficient data search using map reduce framework Sense disambiguation for Marathi language words using decision graph method Logo matching and recognition: A concise review Survey on detecting leakage of sensitive data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1