摘要
从云计算和互联网发展关系的角度出发,借鉴传统数据管理技术的理念和优势,以实现研究、设计和开发新的基于云计算的数据管理技术的目的。通过对云计算的服务器虚拟技术、数据分布存储技术、海量数据管理技术和分布式并行编程模型4个关键技术的剖析,结合云计算对数据管理的特殊需求,详细阐述了GFS、Map Reduce和Big Table3种数据管理技术的功能、特点和管理数据的过程。证明云计算数据管理技术基础理论建设与完善是传统数据管理技术向云计算管理方式的改造与迁移。
From the perspective of the relationship between cloud computing and Internet development, this paper uses the concept and advantage of traditional data management technology for reference in order to achieve the purpose of studying,designing and developing a new data management technology which based on cloud computing. Through the analysis of four key technologies based on that such as server virtualization technology, massive data management technology, distributed data storage technology, distributed parallel programming model, and combined with the special needs for data management, this survey elaborates the functions, characteristics and the process of data management for three kinds of data management technology below： GFS、Map Reduce and Big Table. So we finally show that the construction and perfection for the basic theory of cloud data management technology are transformation from traditional data management technology to the mode of cloud computing management.
出处
《电子设计工程》
2015年第6期71-74,77,共5页
Electronic Design Engineering
基金
陕西省教育厅2014年科学研究专项项目(14JK2106)
