软件工程数据智能应用中心建设和实践探索  

Construction and practice exploration of data intelligent center in software engineering

作　　者：陈领起[1] 高广宇[1] 刘驰[1] 

机构地区：[1]北京理工大学软件学院,北京100081

出　　处：《实验室科学》2015年第2期167-171,共5页Laboratory Science

摘　　要：云计算和大数据分析等离不开大型数据中心的支撑,然而大数据中心需要昂贵的大型计算和存储设备,耗资巨大而在高校较为少有。依托IBM公司赠送的IBM System Z10 EC大型机,于2014年建设了实验、教学、科研、服务四位一体的软件工程专业数据智能应用中心。本着"系统规划、集中建设、资源共享"的原则和培养综合性、创新性人才的目标,建设软件工程专业数据智能应用中心。本文从实验室建设及实验、教学、科研、服务等几个方面来介绍中心建设和相应的实践探索中的新模式。In fact, large scale data center is crucial for cloud computing and big data analysis. However, this type of data center always composed of expensive computing and storage equipment, which is incapable for Colleges and Universities to undertake. Relying on IBM System Z10 EC donated by IBM Corporation, School of Software in Beijing Institute of Technology has built an intelligent data center named ＂Data Intelligent Center＂, which offers four in one functions as experiment, teaching, research and service. School of Software focus on the Data Intelligent Center construction in the light of ＂Systematically Planning, Centralism Construction and Resource Sharing＂, as well as with the goal of train comprehensive and creative talent. In this paper, we mainly focus on describing the data center construction engineering as well as the practical and explorative novel mode in all aspects of education experiment, teaching, research and service offering.

关 键 词：云计算 大数据中心 数据智能 软件工程 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]