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基于阿里专有云的大数据业务系统构建方法 被引量:2

Big Data Business System Construction Method Based on Ali Proprietary Cloud
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摘要 目前,阿里专有云是国内最优秀的专有云产品之一,其提供了丰富的大数据处理组件。如何利用阿里专有云构建业务系统,是很多大数据业务系统设计者需要面对的问题。基于此,针对阿里专有云的应用技术和技术架构特点,提出了基于阿里专有云构建大数据业务系统的基本方法,有利于业务开发者快速梳理自己的技术架构并构建大数据业务系统。 At present,Ali proprietary cloud is one of the best proprietary cloud products in China,which provides a wealth of large data processing components.How to use Ali's proprietary cloud to build business system is a problem that many big data business system designers need to face.Based on this,aiming at the application technology and technical architecture characteristics of Ali proprietary cloud,this paper puts forward the basic method of building large data business system based on Ali proprietary cloud,which is helpful for business developers to quickly sort out their own technical architecture and build large data business system.
作者 王平 Wang Ping(China Electronics Technology Group Corporation No.10 Research Institute,Chengdu Sichuan 610036,China)
出处 《信息与电脑》 2019年第3期96-98,共3页 Information & Computer
关键词 阿里专有云 大数据 系统构建 Ali proprietary cloud big data system construction
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  • 1Sims 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
  • 2Boss 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
  • 3Zhang 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.
  • 4Zhang 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.
  • 5Barroso LA, Dean J, Holzle U. Web search for a planet: The Google cluster architecture. IEEE Micro, 2003,23(2):22-28.
  • 6Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Computer Networks, 1998,30(1-7): 107-117.
  • 7Ghemawat 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.
  • 8Dean 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.
  • 9Burrows 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.
  • 10Chang F, Dean J, Ghemawat S, Hsieh WC, Wallach DA, Burrows M, Chandra T, Fikes A, Gruber RE. Bigtable: A distributed storage system for structured data. In: Proc. of the 7th USENIX Symp. on Operating Systems Design and Implementation. Berkeley: USENIX Association, 2006. 205-218.

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