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基于云计算的智慧社区管理平台关键技术研究 被引量:2

Research on Key Technologies of intelligent community management platform based on Cloud Computing
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摘要 针对传统社区管理平台存在的数据共享差、适应性差等问题,结合当前主流计算机技术,提出一种基于云计算的智能社区管理平台。结合智慧社区具体需求的基础上,给出基于云计算的智能社区整体架构方案;为提高该平台的使用效率,引入多租户技术解决方案,从而解决数据安全与隔离之间的矛盾;同时为应对海量存储问题,引入HDFS和HBase两级的分布式存储方案。最后,通过系统测试,验证了上述技术在智能社区平台开发设计中的可行性。 Aiming at the problems of poor data sharing and poor adaptability of traditional community management platform, a new intelligent community management platform based on cloud computing is proposed in combination with the current mainstream computer technology. Based on the specific needs of the intelligence community, given the overall structure of Intelligent Community scheme based on cloud computing;in order to improve the efficiency of the platform, the introduction of multi tenant technology solutions, so as to solve the contradiction between the data security and isolation;at the same time to deal with the problem of mass storage, the introduction of HDFS and HBase two level storage scheme. Finally, through the system test, the feasibility of the above mentioned technology in the development and design of the intelligent community platform is verified.
作者 杨毅
出处 《自动化与仪器仪表》 2017年第4期104-107,共4页 Automation & Instrumentation
关键词 云计算 智能社区 多租户技术 分布式存储 系统需求 cloud computing intelligent community multi tenant technology distributed storage system requirements
作者简介 杨毅(1981-),男,陕西西安人,硕士,讲师,主要研究方向为计算机软件开发。
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  • 1高洁,吉根林.文本分类技术研究[J].计算机应用研究,2004,21(7):28-30. 被引量:36
  • 2陈志强,张红.构建和谐社会的社区视角——以上海社区网格化管理为例[J].湖北社会科学,2007(1):51-53. 被引量:10
  • 3陈岩.社区建设中的人本理念与实践[J].前沿,2007(7):201-203. 被引量:2
  • 4李德毅 张海粟.超出图灵机的云计算.中国计算机学会通讯,2009,(12).
  • 5Sebastiani F. Text Categorization[Z]. Encyclopedia of Database Technologies and Applications. 2005..683-687.
  • 6Joachims T. A Probabilistic Analysis of the Rocchio Algorithm with TF1DF for Text Categorization[C]//Proceedings of the Fourteenth International Conference on Machine Learning. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 1997.
  • 7Yang Y. An Evaluation of Statistical Approaches to Text Categorization[J]. Journal of Information Retrieval, 1999, 1 (1/2) :67-88.
  • 8Rocchio J J Jr. Relevance Feedback in Information Retrieval [M]. Salton G, ed. The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Inc. , Englewood Cliffs, New Jersey, 1971 : 313-323.
  • 9Tzeras K, Hartmann S. Automatic Indexing Based on Bayesian Inference Networks[C]//Proc. 16th ACM Int. SIGIR Conference. 1993: 22-34.
  • 10Masand B, Lino G, Waltz D. Classifying News Stories Using Memory Based Reasoning[C]//15th ACM SIGIR Conference. 1992:59-65.

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