期刊文献+

基于Hadoop+MPP架构的电信运营商网络数据共享平台研究 被引量:19

Design of Telecom Operators' Network Data Sharing Platform Based on Hadoop+MPP Architecture
在线阅读 下载PDF
导出
摘要 运用分布式计算和分布式存储技术,对基于Hadoop+MPP架构的电信运营商网络数据共享平台的建设进行了研究。通过整合各专业分散的网管数据,搭建网络侧的基础数据平台、应用平台、统一管控平台,实现网络数据的集中采集存储、有效整合,将数据向应用开放共享。 Based on using distributed computing and distributed storage technology,the telecom operators' network data sharing platform based on Hadoop +MPP architectures was studied.By integrating various distributed network management data,the network basic data platform,application platform and unified control platform were built.
出处 《电信科学》 北大核心 2014年第4期135-145,共11页 Telecommunications Science
关键词 分布式 大数据 HADOOP MPP 数据共享 distributed big data Hadoop massively parallel processing data sharing
  • 相关文献

参考文献7

二级参考文献187

  • 1Hadoop community.Hadoop distributed file system,http://hadoop.apache.org/hdfs,2010.
  • 2George C,Jean D,Tim K.Distributed systems:concepts and design(3rd Edition).Addison-Wesley Publishers Limited,2000.
  • 3Russel S,David G,Steve K,et al.Design and implementation of the Sun network file system.Artech House,1988.
  • 4Wang F,Qiu J,Yang J,et al.Hadoop high availability through metadata replication.In:Proceeding of the First International Workshop on Cloud Data Management,Hong Kong,China,November 2009.
  • 5Gluster community.Gluster file system,http://www.gluster.org,2010.
  • 6易剑.Hadoop开发者第1期[R/OL].[2009-07-11]http://ishare.iask.sins.com.cn/f/9389548.htma? from =like.
  • 7易剑.Hadoop开发者第2期[R/OL].[2010-01-30]http://ishare.iask.sina.com.cn/f/9389548.htma? from =like.
  • 8Tom White.Hadoop:The Definitive Guide[M].America:O'Reilly Media,2009:18-25.
  • 9维基.Hadoop[OL].http://en.wikipedia.org/wiki/Hadoop,2010.
  • 10王耀聪,陈威宇.Map-Reduce编程[CP/OL].[2010-01-20]http://trac.nchc.org.tw/cloud.

共引文献359

同被引文献132

  • 1陈继东.数据库发展史[J].程序员,2004(6):46-50. 被引量:7
  • 2林清泉,张建龙,杨丰.中国信用体系建设中的个人信用模糊评估[J].山西财经大学学报,2007,29(2):81-85. 被引量:7
  • 3P05001(31-13)中国移动性能管理系统规范.
  • 4P05-001(31-13).中国移动性能管理系统规范.
  • 5Gartner. Hype cycle for emerging technologies, http://www. gartner.com/newsroom/id/2575515, 2013.
  • 6Gartner. Hype cycle for emerging technologies, http://www. gartner.com/newsroom/id/2819918, 2014.
  • 7Kearney A T. Beyond big: the analytically powered organization http://www.at kearney.com/analytics/feat ured-article/-/asset_publisher/FNSUwH9BGQyt / content / beyond-big-the-analytically-powered- organization/10192, 2014.
  • 8Yuhanna N, Guahieri M. The forrester wave: enterprise data warehouse, http://www.forrester.com/pimages/rws/reprints/d oeument/ 86621/oid/1-M6RPTC, 2013.
  • 9John Kreisa. Hadoop and the Data Warehouse: When to Use Which.http://hortonworks.com/blog/hadoop-and-the-data-warehouse- when-to-use-which/, 2013.
  • 10周扬.Hadoop平台下调度算法和下载机制的优化[D].长沙:中南大学,2012.

引证文献19

二级引证文献126

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部