期刊文献+

云计算环境下并行分布式数据挖掘平台研究 被引量:3

Research on Parallel and Distributed Data Mining Platform under Cloud Computing
在线阅读 下载PDF
导出
摘要 网络技术在带给人们大量信息的同时,也极大地增加了人们从海量数据中发现有用知识的难度,而解决这一问题的努力促进了数据挖掘技术的出现和快速发展。云计算是能够提供动态资源池、虚拟化和高可用性的计算平台,云计算开发平台可被用来开发高性能应用程序。研究云计算环境下并行分布式数据挖掘平台的3个层次,依下而上为分布式计算层,知识发现平台层以及用户应用层。 The development of network techniques brings people in a great deal of information,it also greatly increase the difficulty to find useful knowledge from mass data.The efforts solved this problem promote the emergence and rapid development of data mining techniques.Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.Cloud computing platform can be used to development high capability programmes.The paper researches the three levels in parallel and distributed data mining under cloud computing suchas,by bottom-up,the distributed computing layer,the data mining platform layer and the service application layer.Key words:cloud computing,datamining,mass data,parallel and distributed system
作者 赵建光
出处 《电脑开发与应用》 2014年第7期77-80,共4页 Computer Development & Applications
关键词 云计算 数据挖掘 海量数据 并行分布式系统 cloud computing datamining mass data parallel and distributed system
作者简介 赵建光,男,1979年生,硕士,助理工程师,研究方向:云计算。
  • 相关文献

参考文献10

二级参考文献76

  • 1余慧佳,刘奕群,张敏,茹立云,马少平.基于大规模日志分析的搜索引擎用户行为分析[J].中文信息学报,2007,21(1):109-114. 被引量:118
  • 2VARIA J. Cloud architectures - Amazon Web services [ EB/OL]. [ 2009 - 03 - 01 ]. http://acmbangalore, org/events/monthly-talk/ may-2008 --cloud-architectures---amazon-web-services. html.
  • 3BRYANT R E. Data-intensive supercomputing: The case for DISC, CMU-CS-07-128 [ R]. Pittsburgh, PA, USA: Carnegie Mellon University, Department of Computer Science, 2007.
  • 4SZALAY A S, KUNSZT P, THAKAR A, et al. Designing and mining multi-terabyte astronomy archives: The sloan digital sky survey [ C]//Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. New York: ACM Press, 2000:451 - 462.
  • 5BARROSO L A, DEAN J, HOLZLE U. Web search for a planet: The Google cluster architecture [ J]. IEEE Micro, 2003, 23(2) : 22 -28.
  • 6GILES J. Google tops translation ranking [ EB/OL]. (2006 - 11 - 06) [ 2009 - 03 - 06 ]. http://www, nature, com/news/2006/ 061106/full/news061106-6. html.
  • 7维基百科.Cloud computing [ EB/OL]. [ 2009 - 03 - 10]. http://en. wikipedia, org/wiki/Cloud_computing.
  • 8中国云计算网.什么是云计算?[EB/OL].(2008-05-14)[2009-02-27].http://www.cloudcomputing-china.cn/Article/ShowArticle.asp?ArticleID=1.
  • 9VAQUERO L M, RODERO-MERINO L, CACERES J, et al. A break in the clouds: Towards a cloud definition [ J]. ACM SIGCOMM Computer Communication Review, 2009, 39(1): 50-55.
  • 10WEISS A. Computing in the clouds [ J]. ACM Networker, 2007, 11(4): 16 -25.

共引文献1199

同被引文献20

引证文献3

二级引证文献15

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