基于hadoop的企业文件云存储系统研究

Dawei Zhang, F. Sun, Xu Cheng, Chao Liu
{"title":"基于hadoop的企业文件云存储系统研究","authors":"Dawei Zhang, F. Sun, Xu Cheng, Chao Liu","doi":"10.1109/ICAWST.2011.6163114","DOIUrl":null,"url":null,"abstract":"In order to solve the problem that enterprise-level users mass data storage and high-speed data processing services growth, and the traditional storage system can not meet the data services business growth, enterprise file cloud storage system is proposed. It is based on Hadoop, uses Linux cluster technology, distributed file systems and cloud computing framework, provides large-scale data storage and data storage flexible extension. This paper compares private cloud storage and traditional storage model, analyzes the advantage and feasibility of private cloud storage technology, presents mass data storage and data storage flexible extension methods based on Hadoop. Theoretical analysis shows that the enterprise private cloud storage platform is suit for critical business applications, online transaction processing, the platform can meet mass data storage, is easy to expand the scale of data.","PeriodicalId":126169,"journal":{"name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Research on hadoop-based enterprise file cloud storage system\",\"authors\":\"Dawei Zhang, F. Sun, Xu Cheng, Chao Liu\",\"doi\":\"10.1109/ICAWST.2011.6163114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem that enterprise-level users mass data storage and high-speed data processing services growth, and the traditional storage system can not meet the data services business growth, enterprise file cloud storage system is proposed. It is based on Hadoop, uses Linux cluster technology, distributed file systems and cloud computing framework, provides large-scale data storage and data storage flexible extension. This paper compares private cloud storage and traditional storage model, analyzes the advantage and feasibility of private cloud storage technology, presents mass data storage and data storage flexible extension methods based on Hadoop. Theoretical analysis shows that the enterprise private cloud storage platform is suit for critical business applications, online transaction processing, the platform can meet mass data storage, is easy to expand the scale of data.\",\"PeriodicalId\":126169,\"journal\":{\"name\":\"2011 3rd International Conference on Awareness Science and Technology (iCAST)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Conference on Awareness Science and Technology (iCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAWST.2011.6163114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAWST.2011.6163114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29

摘要

为了解决企业级用户海量数据存储和高速数据处理业务增长,而传统存储系统已不能满足数据业务增长的问题,提出了企业文件云存储系统。它基于Hadoop,采用Linux集群技术、分布式文件系统和云计算框架,提供大规模数据存储和数据存储的灵活扩展。本文对私有云存储与传统存储模型进行了比较,分析了私有云存储技术的优势和可行性,提出了基于Hadoop的海量数据存储和数据存储的灵活扩展方法。理论分析表明,企业私有云存储平台适合关键业务应用,在线交易处理,该平台可以满足海量数据存储,易于扩展数据规模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on hadoop-based enterprise file cloud storage system
In order to solve the problem that enterprise-level users mass data storage and high-speed data processing services growth, and the traditional storage system can not meet the data services business growth, enterprise file cloud storage system is proposed. It is based on Hadoop, uses Linux cluster technology, distributed file systems and cloud computing framework, provides large-scale data storage and data storage flexible extension. This paper compares private cloud storage and traditional storage model, analyzes the advantage and feasibility of private cloud storage technology, presents mass data storage and data storage flexible extension methods based on Hadoop. Theoretical analysis shows that the enterprise private cloud storage platform is suit for critical business applications, online transaction processing, the platform can meet mass data storage, is easy to expand the scale of data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信