期刊文献+

云计算中nosql集群自动配置框架的研究与实现 被引量:1

Research and implementation of automatic configuration framework for nosql based on cloud computing
下载PDF
导出
摘要 针对云计算中大数据的管理与存储需要手动扩展或释放资源,效率低下、成本高等问题,提出一种云计算环境下nosql数据自动配置管理解决方案,设计并实现有良好的伸缩性、自适应性、可扩展性,支持负载动态变化的nosql自动配置框架,该框架支持所有nosql数据库,广泛集成第三方云平台如亚马逊EC2、openstack、eucalyptus等。在该框架的基础上,实现了Nosman自动配置系统,经运行,该系统能够正常提供大数据的存储与管理,在保证用户SLA的情况下,能够随负载的动态变化自动配置nosql集群资源。 To deal with the problems of extending or releasing resources manually, low efficiency and high cost etc. on the management of big data for cloud computing, this paper puts forward a kind of nosql solution to manage data based on cloud computing. By designing and implementing an automatic configuration framework which has a good scalability,adaptability, scalability and accommodates rapid changes in load. This framework supports any nosql database to configure resources flexibly on the cloud platform, such as Amazon EC2, openstack, eucalyptus etc.. On the basis of this framework,this paper realizes an automatic configuration system called Nosman, which can provide normal storage and management for the big data. It ensures user's SLA and can automatically allocate cluster resources with the dynamic change of load.
作者 薛涛 刘龙
出处 《计算机工程与应用》 CSCD 北大核心 2015年第17期38-43,75,共7页 Computer Engineering and Applications
基金 国家发改委高科技产业化项目(陕发改高技[2009]1365号)
关键词 云计算 自动配置 NOSQL数据库 云平台 cloud computing automatic configuration nosql database cloud platform
  • 相关文献

参考文献26

  • 1NoSQL[EB/OL].[2014-10-11 ].http ://zh.wikipedia.org/wiki/ NoSQL.
  • 2NoSQL[EB/OL].[2014-10-11 ].http ://nosql-databases.org/.
  • 3孟小峰,慈祥.大数据管理:概念、技术与挑战[J].计算机研究与发展,2013,50(1):146-169. 被引量:2378
  • 4Campbell D G,Kakivaya G, Ellis N.Extreme scale withfull SQL language support in microsoft SQL azure[C]// Proc of the SIGMOD.New York:ACM Press, 2010: 1021-1023.
  • 5Brantner M, Florescu D, Graf D, et al.Building a data- base on S3[C]//Proc of the SIGMOD.New York. ACM Press, 2008 ~ 251-263.
  • 6Curino C,Jones E P C,Popa R A,et al.Relational cloud: a database as a service tbr the cloud[C]//Proc of the CIDR,USA,2011:235-240.
  • 7Mylavarapu S, Sukthankar V, Banejee P.An optimized capacity planning approach for virtual infrastructure exhib- iting stochastic workload[C]//ACM Symposium on Applied Computing, 2010 : 386-390.
  • 8Rao Jia, Bu Xiangping, Wang Kun, et al.A distributed self-learning approach for elastic provisioning of virtualized cloud resources[C]//2011 IEEE 19th International Sympo- sium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems(MASCOTS), 2011.
  • 9Amazon Cloud Watch[EB/OL]. [2014- l 0- l l ].http://aws.ama- zon.com/cloudwatch/.
  • 10Amazon Auto Scaling[EB/OL].[2014-10-11 ].http ://aws. amazon.com/.

二级参考文献167

  • 1Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 2Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 3Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 4Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 5Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 6World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 7Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.
  • 8UN Global Pulse. Big Data for Development:Challenges Opportunities [R/OL]. [ 2012-10-02 ]. http://www. unglobalpulse, org/proj ects/BigDataforDevelopment.
  • 9Times N Y. The age of big data fEB/OLd. [2012-10 -02]. http://www, nytimes, com/2012/02/12/sunday review/big- datas-impact in-the-world, html?pagewanted=all.
  • 10Grobelnik M. Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society [R/OL]. [2012-10 -02]. http://videolectures, net/cswc2012_grobelnik_ big_data/.

共引文献2377

同被引文献9

引证文献1

二级引证文献2

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