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基于云计算的铁路信息系统数据中心的研究 被引量:21

Study on data center for Railway Information System based on cloud computing
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摘要 分析当前铁路信息系统的管理情况,介绍云计算技术,提出基于云计算的铁路信息系统数据中心架构,阐述各层结构资源整合的方式,包括云基础架构虚拟化、云平台、云应用的资源整合。基于云计算的数据中心将能更好地支撑铁路运输发展。 The article analyzed the current management and introduced the cloud computing technology to Railway Information System,put forward data center architecture for Railway Information System based on cloud computing,expounded the layer structure of integrating resources ways,including cloud infrastructure virtualization,cloud platform,cloud application resource integration.Data center based on cloud computing would be able to support railway transportation development.
作者 于正水
出处 《铁路计算机应用》 2011年第1期23-25,共3页 Railway Computer Application
关键词 云计算 铁路信息系统 数据中心 虚拟化 cloud computing Railway Information Systems data center virtualization
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  • 1陈康,郑纬民.云计算:构建基于互联网的应用[N].计算机世界,2008-05-12(36).
  • 2Sims K. IBM introduces ready-to-use cloud computing collaboration services get clients started with cloud computing. 2007. http://www-03.ibm.com/press/us/en/pressrelease/22613.wss
  • 3Boss G, Malladi P, Quan D, Legregni L, Hall H. Cloud computing. IBM White Paper, 2007. http://download.boulder.ibm.com/ ibmdl/pub/software/dw/wes/hipods/Cloud_computing_wp_final_8Oct.pdf
  • 4Zhang YX, Zhou YZ. 4VP+: A novel meta OS approach for streaming programs in ubiquitous computing. In: Proc. of IEEE the 21st Int'l Conf. on Advanced Information Networking and Applications (AINA 2007). Los Alamitos: IEEE Computer Society, 2007. 394-403.
  • 5Zhang YX, Zhou YZ. Transparent Computing: A new paradigm for pervasive computing. In: Ma JH, Jin H, Yang LT, Tsai JJP, eds. Proc. of the 3rd Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2006). Berlin, Heidelberg: Springer-Verlag, 2006. 1-11.
  • 6Barroso LA, Dean J, Holzle U. Web search for a planet: The Google cluster architecture. IEEE Micro, 2003,23(2):22-28.
  • 7Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 1998,30(1-7): 107-117.
  • 8Ghemawat S, Gobioff H, Leung ST. The Google file system. In: Proc. of the 19th ACM Symp. on Operating Systems Principles. New York: ACM Press, 2003.29-43.
  • 9Dean J, Ghemawat S. MapReduce: Simplified data processing on large clusters. In: Proc. of the 6th Symp. on Operating System Design and Implementation. Berkeley: USENIX Association, 2004. 137-150.
  • 10Burrows M. The chubby lock service for loosely-coupled distributed systems. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 335-350.

共引文献1843

同被引文献123

  • 1于兴义.铁路集装箱专办站运输组织及设置原则研究[J].铁道标准设计,2006,26(7):6-8. 被引量:3
  • 2王玉明.车辆信息化的实践和探索[J].上海铁道科技,2006(4):30-32. 被引量:1
  • 3马庆超.铁路局信息系统的管理与对策[J].铁路计算机应用,2006,15(10):29-30. 被引量:3
  • 4Chang F, Dean J, Ghemawat S, et al. Bigtable: a distributed storage system for structured data. Proc of the 7^th USENIX Syrup on OSDI, Berkeley, 2006.
  • 5Boss G, Mailadi P, Quan D, et al. IBM White Paper: Cloud Cornputing[EB/OL]. http://download, boulder. ibm.com/ ibmdl/ pub / software / dw / wes/hpods/ cloud computing_wp final_80ct.pdf.
  • 6Michael A, Armando F. Above the Clouds: A Berkeley View of Cloud Computing[EB/OL]. http://www.EECS. berkeley.edu/Pubs/TechR.pts/2009/EECS-2009-28.pdf.
  • 7Robert L G, Gu Y H. Data mining using high performance data clouds: experimental studies using sector and sphere[R].Proc of the 14^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008.
  • 8Daniel J A. Data nlanagement in the cloud: limitations and opportunities[C]. Bulletin of the IEEE Computer Society Technical Committee on Data Engineerning, 2009, 32(1): 3-12.
  • 9戴建华.云计算在远程教育中的应用研究[A],2011.
  • 10张莉艳.基于云计算的铁路信息共享平台总体框架及关键技术研究[C].第八届中国智能交通年会优秀论文集,2013.

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