面向数据库云化的企业级高性能一体机性能评价模型  被引量:1

PERFORMANCE EVALUATION MODEL OF ENTERPRISE HIGH PERFORMANCE DATABASE APPLIANCE FOR DATABASE CLOUDIZATION

在线阅读下载全文

作  者:庄岭 赵新建[2] 李维[2] 王召 籍天明 Zhuang Ling;Zhao Xinjian;Li Wei;Wang Zhao;Ji Tianming(State Grid Jiangsu Electric Power Company, Nanjiang 210000, Jiangsu, China;State Grid Nanjing Power Supply Company, Nanjiang 210000, Jiangsu, China;Nari Group Cooperation, Nanjiang 210000, Jiangsu, China)

机构地区:[1]国网江苏省电力公司,江苏南京210000 [2]南京供电公司,江苏南京210000 [3]南京南瑞集团公司,江苏南京210000

出  处:《计算机应用与软件》2018年第5期144-148,183,共6页Computer Applications and Software

基  金:国网江苏省公司科技项目(基于云WiFi平台的变电站应用关键技术研究项目)

摘  要:随着企业信息化的迅速发展以及云计算、大数据等技术的兴起,信息系统对于业务的响应速度以及对海量数据的处理能力正日益受到关注。高性能一体机作为服务器软硬件融合的新产物,拥有较高兼容性和维护便捷等多种优点,能够满足传统数据库云化的需求,助力用户业务创新。对此,分别对T2750、GREEN PLUM DCA、FUSIONCUBE HANA、Isp和XData等数据库一体机在OLAP、即席测试、功能性测试等场景下进行测试,分析了各场景执行任务需要的时间与系统资源消耗情况。综合考虑各测试场景建立统一的性能评价模型,为企业数据库一体机的选型提供了科学依据。With the rapid development of enterprise information and rising development of cloud computing,big data technology,the response speed of the business and the processing capacity of the massive data of the information system is increasingly concerned. As a new product of server hardware and software integration,the high performance database appliance has high compatibility,easy maintenance and other advantages. It can meet the needs of traditional database cloudization and help customers' business innovation. In this regard,database appliances such as T2750,GREEN PLUM DCA,FUSIONCUBE HANA,Isp and XData are tested with OLAP,Ad hoc test,functional testing scenes in this paper.The time required and the system resource consumption is analysed. A unified performance evaluation model is established based on the test scenarios. In this way,a scientific basis for database appliances selection of enterprises is provided.

关 键 词:数据库云化 高性能一体机 性能测试 评价模型 

分 类 号:TP30[自动化与计算机技术—计算机系统结构]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象