|
|||||
|
|
| 铁路货运网格数据平台关键技术研究 | |
| 引用本文： | 邢智明,李晓林,戴钢,谢毅,刘丰志.铁路货运网格数据平台关键技术研究[J].华中科技大学学报(自然科学版),2011,39(Z1):193-197. |
| 作者姓名： | 邢智明 李晓林 戴钢 谢毅 刘丰志 |
| 作者单位： | 1. 铁道部信息技术中心,北京,100844 2. 中国科学院计算技术研究所网络重点实验室,北京,100190 3. 北京交通大学计算机与信息技术学院,北京,100044 4. 北京科技大学土木与环境工程学院,北京,100083 |
| 基金项目： | 国家高技术研究发展计划资助项目(2006AA01A121) |
| 摘 要： | 设计并实现了一个高扩展性、高可用性的数据网格系统RFGrid来处理海量的铁路货运数据.RFGrid提出一个虚拟化数据模型,集成全国各个铁路局所有的数据,提供全局统一的数据视图,支持灵活高效的构件化业务开发模式.RFGrid采用分布处理的模式,将任务分解到各个路局并行执行,所有处理细节对用户透明,降低了分布式数据处理的复杂性,提高了资源利用率.最后,利用真实的货运生产应用作为负载进行性能分析,结果显示RFGrid能显著提升货运数据处理的性能,提高了货运分析的效率,对提高运输组织水平有重要意义. |
| 关 键 词： | 网格 数据集成 分布式计算 货运分析 虚拟化 高可用 |
Key technologies of railway freight grid data platform |
|
| Xing Zhiming,Li Xiaolin,Dai Gang,Xie Yi,Liu Fengzhi.Key technologies of railway freight grid data platform[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2011,39(Z1):193-197. | |
| Authors: | Xing Zhiming Li Xiaolin Dai Gang Xie Yi Liu Fengzhi |
| Institution: | Xing Zhiming1 Li Xiaolin2 Dai Gang3 Xie Yi2 Liu Fengzhi4(1 Information Technology Center,Ministry of Railways,Beijing 100844,2 Key Laboratory of Network Science and Technology,Institute of Computing Technology,Chinese Academy of Science,Beijing 100190,3 School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,4 School of Civil and Engineering,University of Science and Technology,Beijing 100083) |
| Abstract: | RFGrid is a scalable and high available data grid system,which is designed to process mass railway freight data.In RFGrid,a virtualized data model is proposed,which integrates data among all railway bureaus,and provides a unified global view for data and supports flexible component-based development schemes.RFGrid decomposes job into small tasks running in many railway bureaus in parallel,and the whole processing details of which are transparent to users.It reduces the complexity of distributed data process... |
| Keywords: | grid data integration distributed computing freight analysis virtualization high available |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |