期刊文献+

海洋信息云服务平台资源管理体系架构研究 被引量:7

Research on Resource Management Architecture for Marine Information Cloud Services Platform
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摘要 海洋信息化日益重要,然而存在于各个系统的资源缺乏统一部署管理。云计算的发展为大规模数据的处理和海量信息的访问提供了支撑。所以构建面向用户的软件即服务资源管理系统,对存在异构性的资源进行统一管理尤为重要。文中通过对各类资源的分析,提出了云资源管理的体系架构,并从安全性,基于REST架构的可扩展性和底层资源存储的部署等方面,给出了优化策略。在该平台上,大规模数据的访问,高并发的请求也是一种常态,通过初步构建原型系统,证明平台体系架构的可用性和高效性。 Marine information is becoming more and more crucial while the resources existing in various systems lack of unified deployment management. The development of cloud computing provides support for large- scale data processing and massive information accessing,so it is particularly significant for heterogeneity- existing resources to build user- oriented cloud resources management system as Software- as- a- Service( SaaS) to do unified management. Through the analysis of all kinds of resources,put forward the cloud resources management architecture. In consideration of security,based on the scalability of REST architecture and the rapid storage parts,give the optimization strategy. On this platform,high concurrency and high- density access are a normal status. By building a prototype system in preliminary,the availability and efficiency of the system architecture is proved.
出处 《计算机技术与发展》 2016年第2期7-11,共5页 Computer Technology and Development
基金 国家"十二五"规划项目(201105033)
关键词 云计算 资源管理 架构 优化策略 cloud computing resource management architecture optimization strategy
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参考文献14

  • 1许莉莉,汤海荣,张燕歌.海洋信息化标准体系研究[J].中国标准导报,2015,0(1):49-51. 被引量:14
  • 2Bernabe J B,Perez J M M, Calero J M A,et al. Semantic-a- ware multi- tenancy authorization system for cloud architec- tures[ J]. Future Generation Computer Systems,2014,32( 1 ) : 154-167.
  • 3Islam M, Huang A K. Oozie:towards a scalable workflow man- agement system for Hadoop [ C ]//Proceedings of the ACM SIGMOD workshop on scalable workflow execution engines and technologies. [ s. 1. ] :ACM ,2012 : 1-10.
  • 4Manvi S S, Shyam G K. Resource management for Infrastruc- ture as a Service (IaaS) in cloud computing: a survey [ J ]. Journal of Network and Computer Applications ,2014,41:424- 440.
  • 5Chihi H, Chainbi W, Ghedira K. An energy-efficient self-pro- visioning approach for cloud resources management [ J ]. ACM SIGOPS Operating Systems Review,2013,47(3) :2-9.
  • 6Moise D, Antoniu G. Improving the Hadoop Map/Reduce framework to support concurrent appends through the BlobSeer BLOB management system [ C ]//Proceedings of the 19th ACM international symposium on high performance distributed computing. [ s. 1. ] : ACM ,2010:834-840.
  • 7Lira N, Majumdar S, Ashwood-Smith P. Engineering resource management middleware for optimizing the performance of clouds processing MapReduce jobs with deadlines[ C]//Pro- ceedings of the 5th ACM/SPEC international conference on performance engineering. [ s. 1. ] :ACM ,2014:161-172.
  • 8Ikram A, Anjum A, Bessis N. A cloud resource management model for the creation and orchestration of social communities [ J ]. Simulation Modelling Practice and Theory,2015,50 : 130 -150.
  • 9Pardeshi V H. Cloud computing for higher education institu- tes:architecture, strategy and recommendations for effective adaptation[ C ]//Proc of SIMSARC13. [ s. 1. ] : [ s. n. ] ,2014: 589-599.
  • 10Dukaric R,Juric M B. Towards a unified taxonomy and archi- tecture of cloud frameworks [ J ]. Future Generation Computer Systems,2013,29 : 1196-1210.

二级参考文献7

  • 1张永刚,岳高峰.我国智慧城市标准体系研究初探[J].标准科学,2013(11):14-18. 被引量:13
  • 2王睿.Flex与ActionScript编程[M].北京:机械工业出版社,2008.
  • 3Tapper J, Labriola M, Boles M, et al. Flex3权威指南[M].杨博,杜昱宏译.北京:人民邮电出版社,2009.
  • 4SimonBarber.RenaunEfickson.AdobeFlex高级编程[M].北京:人民邮电出版社.2008:07.
  • 5刘颖.中国关键技术标准战略实施推进优秀学术论文集[M].北京:中国计量出版社,2008:145-154.
  • 62006--2020年国家信息化发展战略[D]2006.
  • 7何广顺.海洋信息化现状与主要任务[J].海洋信息,2008(3):1-4. 被引量:18

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