期刊文献+

容器技术在DRaaS中的应用研究 被引量:5

Application Research on Container Technology in DRaaS
下载PDF
导出
摘要 容器技术以比虚拟化技术更轻量化、敏捷化的优势,近年来在云计算领域的应用范围逐渐扩大、备受关注.本文在分析现有灾备模式、云计算服务层级基础上,总结归纳了灾难恢复即服务(DRaaS)的概念,接着全面研究分析了容器的原理和关键技术,最后将容器思维和DRaaS理念相结合,提出基于容器技术的DRaaS云服务平台架构,并对该架构的优势和服务模式进行了分析. The application scope of container technology has gradually expanded in cloud computing in recent years,because container technology is more lightweight and agile than virtualization technology.Based on the analysis of backup for disaster recovery preparedness and cloud computing service level,this paper summarizes the concept of disaster recover as a service,then principle and key technology of container are analyzed.Finally,the container thinking and DRaaS concept are combined,and DRaaS cloud service platform architecture based on container technology is proposed,also the advantages and service modes of this architecture are analyzed.
作者 刘伟佳 李博权 LIU Wei-jia;LI Bo-quan(Rural Credit Banks Funds Clearing Center, Beijing 100029, China;National Space Science Center, China Academy of Science, Beijing 100094, China)
出处 《微电子学与计算机》 CSCD 北大核心 2018年第6期52-55,共4页 Microelectronics & Computer
关键词 灾备 DRaaS 容器 云平台 disaster recovery DRaaS container cloud computing
  • 相关文献

参考文献1

二级参考文献21

  • 1C.Warrick,S.John. A disaster recovery solution selection methodology[M].IBM Corporation,2004.
  • 2A.Greenberg,J.Hamilton,D.A.Maltz,E.Patel. The cost of a cloud:Research problems in data center networks[J].ACM SIGCOMM Computer Communication Review,2008,(01):68-73.
  • 3A.Fox,R.Griffith,A.Joseph,R.Katz,A.Konwinski,G.Lee,and I.Stoica. Above the clouds:A Berkeley view of cloud computing[M].Dept.Electrical Eng.and Comput.Sciences,University of California,Berkeley,Rep.UCB/EECS,2009.
  • 4T.Wood,E.Cecchet,K.K.Ramakrishnan,E.Shenoy,J.Van der Merwe,and A.Venkataramani. Disaster recovery as a cloud service:Economic benefits & deployment challenges[A].Boston,USA,2010.
  • 5Amazon Corporation. Amazon simple storage service (Amazon S3)[OL].http://aws.amazon.com/s3,2008.
  • 6S.Ghemawat,H.Gobioff,S.T.Leung. The Google file system[J].ACM SIGOPS Operating Systems Review,2003,(05):29-43.
  • 7D.Borthakur. The hadoop distributed file system:Architecture and design[OL].http://hadoop.apache.org/docs/ r0.18.0/hdfs_design.pdf,2007.
  • 8J.R.Raphael. The 10 worst cloud outages (and what we can learn from them)[OL].http://www.infoworld.com/d/cloudcomputing/the-10-worst-cloud-outages-and-what-we-canlearn-them-902,2011.
  • 9J.R.Raphael. The worst cloud outages of 2013 (so far)[OL].http://www.infoworld.com/slideshow/107783/theworst-cloud-outages-of-2013-so-far-221831,2013.
  • 10M.Vrable,S.Savage,G.M.Voelker. Cumulus:Filesystem backup to the cloud[J].ACM Transactions on Storage(TOS),2009,(04):14.

共引文献4

同被引文献62

引证文献5

二级引证文献29

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