智慧校园背景下高校数据中心的研究  

Research on University Data Center under Background of Smart Campus

作　　者：刘宝妹 陈美玲[1] 白兴瑞[1] LIU Baomei;CHEN Meiling;BAI Xingrui(Longyan University,Longyan,Fujian 364000,China)

机构地区：[1]龙岩学院,福建龙岩364000

出　　处：《龙岩学院学报》2020年第2期29-32,共4页Journal of Longyan University

基　　金：龙岩学院青年攀登项目(LQ2016009)。

摘　　要：建设智慧校园共享数据中心,运用云计算、Hadoop大数据等技术解决“烟囱式”系统建设、“信息孤岛”、海量异构数据存储问题,从而集成整合高校资源,实现海量数据的高效存储及管理。通过研究共享数据中心的建设框架,提出部署在VMware虚拟化平台上来保障数据中心的高可用性和业务连续性,提出基于oracle和HBase混合模式实现海量异构数据存储及管理。同时,重点阐述了异构数据的集成思路,利用Kettle ETL工具,通过创建的中间数据库以中间表或视图的方式实现数据的整合。Cloud computing and Hadoop big data technologies can be used to construct the shared data center in smart campus to solve the problems of the"chimney system"constructions,the"information island"and the storage of the massive heterogeneous data.In this way,university's resources can be integrated and the storage and management of massive data implemented.This paper puts forward the architecture of the shared data center,proposes to deploy the shared data center on VMware virtualization platform which ensures the high availability and business continuity,then proposes a hybrid storage method which is based on Oracle and HBase to achieve the goal of massive heterogeneous data storage and management.This paper also expounds the ideas of heterogeneous data integration,and by using the Kettle ETL tool,creates the intermediate database with the way of intermediate table or view to achieve the goal of heterogeneous data integration.

关 键 词：智慧校园 共享数据中心 虚拟化技术 KETTLE ETL工具 混合存储 

分 类 号：TP393.18[自动化与计算机技术—计算机应用技术]