[1]王凤领. 基于Hadoop高校教育资源云存储平台构建研究[J].计算机技术与发展,2016,26(03):176-180.
 WANG Feng-ling. Study on Construction of Cloud Storage Platform for College Education Resources Based on Hadoop[J].,2016,26(03):176-180.
点击复制

 基于Hadoop高校教育资源云存储平台构建研究()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年03期
页码:
176-180
栏目:
应用开发研究
出版日期:
2016-03-10

文章信息/Info

Title:
 Study on Construction of Cloud Storage Platform for College Education Resources Based on Hadoop
文章编号:
1673-629X(2016)03-0176-05
作者:
 王凤领
 黑龙江财经学院 财经信息工程系
Author(s):
 WANG Feng-ling
关键词:
 云计算Hadoop云存储分布式文件系统教育资源
Keywords:
 cloud computingHadoopcloud storageHDFSeducational resources
分类号:
G64
文献标志码:
A
摘要:
 云计算在整合高校教育资源方面的关键是海量的数据存储,把云存储的技术和方法运用到高校教育资源整合的建设中,节约高校教育资源,有效地提高高校教育资源的利用率,从而提高高校的教学水平。文中阐述了云计算和云存储的概念和特点,介绍了高校教育资源中存在的问题和优势,简单介绍了主流的云计算平台,重点介绍了Hadoop的HDFS存储系统的特点和结构;结合基于云体系结构,设计出高校教育云体系结构,实现基于Hadoop平台的高校教育资源网架构,使用Hadoop平台进行数据的存储和传输。实验结果表明,利用Hadoop云计算平台,为大规模高校数据处理提供良好的解决方法,有效提高海量数据的处理速度。
Abstract:
 The key for cloud computing in the integration of university education resources is the mass data storage. The technology and method of cloud storage can be used in the construction of university resources integration. It can improve the utilization rate of resources, save resources and improve the teaching level. In this paper,it expounds concept and characteristics of cloud computing and cloud stor-age,presenting the existing problems and advantages in the higher education resources, then simply introducing the mainstream cloud computing platform,and focusing on the characteristics and structure of HDFS Hadoop storage system. With the combination of cloud sys-tem structure based on the system structure,the cloud system structure of education in colleges and universities is designed to realize the higher education resource network framework based on Hadoop platform. The data transmission and storage is conducted by Hadoop plat-form. Experimental results show that the use of Hadoop cloud computing platform can effectively improve the speed of mass data process-ing,which provides a good solution for large-scale and efficient data processing.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
 WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(03):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
 CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(03):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
 SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(03):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
 GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(03):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
 LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(03):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
 WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(03):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
 SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(03):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
 TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(03):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
 ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(03):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
 ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(03):165.
[11]王雷,陈彦先,袁哲,等. 面向预拌混凝土行业的云计算[J].计算机技术与发展,2014,24(08):14.
 WANG Lei,CHEN Yan-xian,YUAN Zhe JI Xu. Research on Cloud Computing for Ready-mixed Concrete Industry[J].,2014,24(03):14.
[12]殷小龙,李君,万明祥. 云环境下基于改进NSGA II的虚拟机调度算法[J].计算机技术与发展,2014,24(08):71.
 YIN Xiao-long,LI Jun,WAN Ming-xiang. Virtual Machines Scheduling Algorithm Based on Improved NSGA II in Cloud Environment[J].,2014,24(03):71.
[13]张也弛,周文钦,石润华. 一种面向云的大数据完整性检测协议[J].计算机技术与发展,2014,24(09):68.
 ZHANG Ye-chi,ZHOU Wen-qin,SHI Run-hua. A Big Data Integrity Checking Protocol for Cloud[J].,2014,24(03):68.
[14]徐源吾[][],王珣[][]. 基于Hadoop的智能家居信息处理平台[J].计算机技术与发展,2014,24(09):183.
 XU Yuan-wu[] [],WANG Xun[][]. nformation Processing Platform of Smart Home Based on Hadoop[J].,2014,24(03):183.
[15]谢福伟,梁昌勇,马银超. 基于云计算的景区数据仓库应用研究[J].计算机技术与发展,2014,24(09):198.
 XIE Fu-wei,LIANG Chang-yong,MA Yin-chao. Research on Data Warehouse Application of Tourist Areas Data Based on Cloud Computing[J].,2014,24(03):198.
[16]孙滔,王杉,邢军. 文献共享系统和数据共享系统的云计算平台建设[J].计算机技术与发展,2014,24(09):206.
 SUN Tao,WANG Shan,XING Jun. Construction of Cloud Computing Platform of Sci-tech Literature Sharing System and Data Sharing System[J].,2014,24(03):206.
[17]周文琼[],王乐球[],郑述招[]. 云环境下的数据库扩展策略的设计[J].计算机技术与发展,2014,24(09):213.
 ZHOU Wen-qiong[],WANG Le-qiu[],ZHENG Shu-zhao[]. Design of Database Expansion Strategy under Cloud Computing[J].,2014,24(03):213.
[18]申侃,梁昌勇,赵树平. 基于云的MIS开放式体系结构[J].计算机技术与发展,2014,24(10):21.
 SHEN Kan,LIANG Chang-yong,ZHAO Shu-ping. Open Architecture of MIS Based on Cloud[J].,2014,24(03):21.
[19]王霞俊. 云环境下一种基于能耗感知的虚拟机部署算法[J].计算机技术与发展,2014,24(10):88.
 WANG Xia-jun. A Virtual Machine Allocation Algorithm Based on Power-aware in Cloud Computing[J].,2014,24(03):88.
[20]孟蒙,茅苏. 基于云计算的可反馈负载均衡策略的研究[J].计算机技术与发展,2014,24(10):135.
 MENG Meng,MAO Su. Study on Feedback Load Balancing Strategy Based on Cloud Computing[J].,2014,24(03):135.

更新日期/Last Update: 2016-06-14