期刊文献+

云数据存储与管理 被引量:9

Cloud Data Storage and Management
下载PDF
导出
摘要 云计算作为一种新兴的商业模式发展异常迅猛,数据存储与管理是云计算中非常重要也极具价值的研究领域。介绍了云存储的概念、云存储的优势及云存储的架构;结合企业的具体实例,从多层次多方位深度剖析了云数据存储技术GFS(Google File System)/HDFS(Hadoop Distributed File System)及云数据管理系统BigTable/HBase,并对它们进行了分析比较。 Cloud computing as a new business model is developed very fast. Data storage and management is a very important and valuable research field in cloud computing. This paper introduces the concept of cloud storage as well as the advantage and architecture of cloud storage. Then it analyzes the cloud data storage technology- GFS(Google File System)/HDFS(Hadoop Distributed File System) and the cloud data management system-BigTable/HBase based on the specific cases of enterprises.
作者 刘琨 董龙江
出处 《计算机系统应用》 2011年第6期232-237,235-237,共6页 Computer Systems & Applications
基金 北京联合大学校级科研项目(ZK2009606)
关键词 云计算 云存储 数据管理 GFS HDFS cloud computing cloud storage data management GFS HDFS
  • 相关文献

参考文献11

  • 1Ghemawat S, Gobioff H, Leung ST. The Google file system. Michael L. Scott, ed. Proc. of the 19th ACM Symposium on Operating Systems Principles. New York: ACM Press, 2003: 29-43.
  • 2Chang F, Dean J, et al. Bigtable:A Distributed Storage System for Structured Data. ACM Trans. on Computer Systems, 2008,26(2): 1-26.
  • 3中国云计算网.什么是云存储.(2008-11-17)[2010-08-25].http://www.cloudcomputing-china.cn/Article/luilarff200811/215.html.
  • 4Borthakur D. The Hadoop Distributed File System: Architecture and Design. (2008-09-02) [2010-08-25].http:// hadoop.apache.org/common/docs/r0.16.0/hdfs_design.html.
  • 5Hbase Development Team.HBase: Bigtable-like structured storage for Hadoop HDFS.(2010-08-10)[2010-08-25]. http://wiki, apache.org/hadoop/I-Ibase.
  • 6分布式基础学习.(2009-2-22)[2010-8-25].http://www.cnblogs.com/duguguiyu/archive/2009/02/22/1396034.html.
  • 7White T. Hadoop:The Definitive Guide. California: O'ReiUy Media,Inc. 2009:12-14.
  • 8Caibinbupt.Hadoop源代码分析(重读GFS的文章).(2009-01-29)[2010-8-25].http://caibinbupt.javaeye.com/blog/318949.
  • 9Burrows M. The chubby lock service for looselycoupled distributed systems. Brian Bershad,ed. Proc. of the 7th USENIX Symposium on Operating Systems Design and Implementation. New York: ACM Press, 2006:30-40.
  • 10吴吉义,傅建庆,张明西,平玲娣.云数据管理研究综述[J].电信科学,2010,26(5):34-41. 被引量:51

二级参考文献58

  • 1郭劲,李栋,张继征,贾惠波.iSCSI,CIFS,NFS协议的性能评测[J].小型微型计算机系统,2006,27(5):833-836. 被引量:5
  • 2范昊,余婷.一种新型的网络分布式计算--云计算.2008年全国高性能计算学术年会论文集,2008.
  • 3英特尔开源软件技术中心,复旦大学并行处理研究所.系统虚拟化:原理与实现.北京:清华大学出版社,2009.
  • 4陈海波.云计算平台可信性增强技术的研究.复旦大学博士学位论文,2009.
  • 5Sanjay Ghemawat, Howard Gobioff, Shun-Tak Leung. The Google file system. In:Proc of the 19th ACM SOSP,New York,2003.
  • 6Dean J, Ghemawat S. MapReduce: simplified data processing on large clusters. In:Proc of the 6th SOSDI, Berkeley Calif,2004.
  • 7Ralf Lammel.Google ' s MapReduce programming model Revisited.http://www.cs.vu.nl/-ralf/MapReduce/paper.pdf,2007.
  • 8Fay Chang, Jeffrey Dean, Sanjay Ghemawat, et al. Bigtable: a distributed storage system for structured data. In:Proc of the 7th USENIX Symp on OSDI, Berkeley,2006.
  • 9Kelly Sims. IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing. http://www-03.ibm.com/press/us/en/pressrelease/22613.wss,2009.
  • 10IBM. IBM virtualization.http://www-03.ibmcom/systems/virtualization/, 2009.

共引文献78

同被引文献53

  • 1陈兰香,许力.云存储服务中可证明数据持有及恢复技术研究[J].计算机研究与发展,2012,49(S1):19-25. 被引量:28
  • 2鞠九滨,杨鲲,徐高潮.使用资源利用率作为负载平衡系统的负载指标[J].软件学报,1996,7(4):238-243. 被引量:23
  • 3朱宁.观众的“搜索引擎”——电视导视类节目的发展及其传播效能简析[J].当代电视,2007(5):50-52. 被引量:2
  • 4李隽.详细解析云存储技术架构[EB/OL].[2010-09-26].http://www.topoint.com.cn/html/colud/cloud-store/2010/09/301609.html.
  • 5郭涛.弥补云存储管理的空白[N].中国计算机报,2011-08-01(032).
  • 6张东升.NAS:云存储的未来之路IT世界网[EB/OL].[2010-10-08].http://www.edu.cn/nas-9796/20101008/t20101008-526814.shtml.
  • 7Gupta R, Gupta H, Mohania M. Cloud computing and big data analytics: What is new from databases perspective. Lecture Notes in Computer Science, 2012, 7678: 42-61.
  • 8Bahga A, Madisetti VK. Analyzing massive machine maintenance data in a computing cloud. Parallel and Distributed Systems, IEEE Trans. on, 2012, 23(10): 1831- 1843.
  • 9Bohlouli M, Schulz F, et al. Towards an integrated platform for big data analysis integration of practice-oriented knowledge technology. Treands and Prospectives, 2013: 46-555.
  • 10White T. Hadoop: The Definitive Guide. O'Reillly Media, Inc., 2012.

引证文献9

二级引证文献17

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