期刊文献+

云计算环境下大规模数据处理技术研究 被引量:4

Cloud computing environment of mass data processing technology
下载PDF
导出
摘要 随着科技的不断发展,云技术在各个领域当中正在得到越来越广泛的应用。尤其是在云计算系统的数据收集和数据整理当中,大规模数据处理技术更是发挥着不可替代的作用。因此,在大规模的数据处理当中,可以应用云计算技术,建立一个高性能的计算平台,并且基于云计算,建立一个大规模数据处理框架模型,从而更好的完成大规模数据处理工作。 with the continuous development of science and technology, cloud technology in various fields is getting more and more widely used. In a cloud computing system, the mass data processing technology based on cloud computing environment is one of the most important technologies, for the normal operation of the cloud computing play the role of the care and support. Especially in cloud computing system of data collection and data sorting of mass data processing technology also play an irreplaceable role. In large-scale data processing, therefore, can be applied to cloud computing technology, establish a high performance computing platform, and based on cloud computing, to set up a framework of mass data processing model, so as to better complete the mass data processing work.
出处 《湖南城市学院学报(自然科学版)》 CAS 2016年第2期135-136,共2页 Journal of Hunan City University:Natural Science
关键词 云计算环境 大规模数据 处理技术 cloud computing environment Large-scale data Processing technology
  • 相关文献

参考文献9

二级参考文献182

  • 1任家东,任东英.基于时间戳数据库的分布式多层时态关联规则挖掘[J].计算机工程,2004,30(16):63-64. 被引量:1
  • 2Michael Armbrust, Armando Fox. Above the Clouds: A Berkeley View of Cloud Computing[ E O/BL ]. (2009) ht tp: // www. EECS. berkeley, edu/Pubs/TechRpts/2009/ EECS-2009-28. pdf.
  • 3Jeffrey Dean, Sanjay Ghemawat. MapReduce: A Flexible Data Processing Tool[J].Communications of the ACM,2010,53(1): 72- 77.
  • 4Michael Stonebraker, Daniel Abadi, David J. DeWitt. MapReduce and Parallel DBMSs: Friends or Foes? [J]. Communications of the ACM, 2010, 53(1) : 64 - 71.
  • 5Pavlo A, Paulson E, Rasin A. A Comparison of Approaches To Large-Scale Data Analysis[ C]//Proceedings of the ACM SIGMOD International Conference. New York: ACM Press, 2009:165 - 178.
  • 6Nanda S, Chiueh T. A Survey of Virtualization Technologies[R]. Tech. Rep. 179. New York: Stony Brook University, 2005.
  • 7Kozueh M A, Ryan M P. Tashi: Location-Aware Cluster Management[C]//Proceedings of the ACM. Barcelona: ACDC, 2009:43 - 48.
  • 8Tom White. Hadoop: Definition Guide[ M]. U. S. A., O' REILLY, 2009:1 - 299.
  • 9孙兆玉,袁志平,黄宇光.面向数据密集型计算Hadoop及其应用初探[C].见:2008年全国高性能计算学术年会.2008:441-443.
  • 10Armbrust M, Fox A, Griffith R, et al. Above the Clouds : A Berkeley View of Cloud Computing [ EB/OL ]. [ 2011 - 01 - 10 ]. http://www. EECS. berkeley, edu./Pubs/TechRpts/2009/EECS - 2009 - 28. pdf.

共引文献1251

同被引文献18

引证文献4

二级引证文献18

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