期刊文献+

基于云计算的分布式企业搜索引擎研究 被引量:9

The Research of Distributed Search Engine Base on Cloud Computing
下载PDF
导出
摘要 当前企业搜索引擎多采用基于全文检索技术设计,随着索引的膨胀和客户端并发查询的增加,有限的物理存储、CPU周期、内存容量和网络带宽带来了巨大瓶颈。随着云计算概念的提出和发展,为企业搜索引擎提供了更加优化的解决方案。本文将简要介绍现阶段基于分布式存储和分布式计算的云计算研究成果,以及其在企业搜索引擎中的应用。 At present, most of the Enterprise Search Engine is based on information retrieval technology. However, with the expansion of index and the increase of client concurrent queries, the limited physical storage, CPU cycles, memory capacity and network bandwidth have become a huge bottleneck. With the proposal of the concept of Cloud Computing and development, it provides a more optimized solution for Enterprise Search Engine. It will introduce the research result of Cloud Computing based on Distributed Storage and Distributed Computing, as well as how to apply it in the Enterprise Search Engine in this article.
出处 《电脑知识与技术》 2009年第11X期9429-9430,9434,共3页 Computer Knowledge and Technology
关键词 云计算 分布式存储 分布式文件系统 分布式计算 企业搜索引擎 全文检索 cloud computing distributed storage distributed file system distributed computing enterprise search engine information retrieval
  • 相关文献

参考文献3

  • 1Jeffrey Dean,Sanjay Ghemawat.MapReduce:Simplifed Data Processing on Large Clusters[]..
  • 2Sanjay Ghemawat,Howard Gobioff,Shun-Tak Leung.The Google File System[]..
  • 3Tom White.Hadoop The Definitive Guide[]..2009

共引文献1

同被引文献35

  • 1云健,王春霞.搜索引擎技术综述[J].河西学院学报,2008,24(2):80-82. 被引量:4
  • 2余力,刘鲁.电子商务个性化推荐研究[J].计算机集成制造系统,2004,10(10):1306-1313. 被引量:104
  • 3翟凤文,赫枫龄,左万利.字典与统计相结合的中文分词方法[J].小型微型计算机系统,2006,27(9):1766-1771. 被引量:41
  • 4封俊.基于Hadoop的分布式搜索引擎研究与实现[D].太原:太原理工大学,2010.
  • 5付志超.基于Map/Reduce的分布式智能搜索引擎框架研究[D].武汉:武汉理工大学,2008.
  • 6Boss G, Malladi P, Quan D, Legregni L, Hall H. Cloudcomputing. IBM White Paper[EB/OL].http://download. boulder.ibm.com/ibmdl/pub/software/dw/wes/hipods/ Cloud_computing_wp_final_8Oct.pdf, 2007-03-22.
  • 7Tom White. Hadoop: The Definitive Guide[M]. CA: O' Reilly Media, Inc..1005 Gravenstein Highway North, Sebastopol, 2010:96-112.
  • 8HDFS Architecture Guide [EB/OL]. http://hadoop. apache.org/hdfs/docs/r0.21.0hdfs_desig-n.html,2011 -06-28.
  • 9Jeffrey Dean and Sanjay Ghemawat. MapReduce: Sim- plified Data Processing on Large Clusters Google, Inc [EB/OL].http://labs.google.com/papers/mapreduce-os- di04.pdf,2011--07--20.
  • 10Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters[J]. Communications of the ACM, 2008, 51(1): 107-113.

引证文献9

二级引证文献9

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