一种领域科学数据云及服务的实现  

Research and Implementation of a Science Data Cloud and Services

作　　者：胡长军[1] 杨晶[1,2] 葛敬军[1] 刘歆[1] 

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083 [2]南阳理工学院软件学院,河南南阳473004

出　　处：《小型微型计算机系统》2013年第5期1028-1034,共7页Journal of Chinese Computer Systems

基　　金：国家"八六三"高技术研究发展计划基金项目(2008AA01Z109)资助

摘　　要：给出一种科学数据云及服务的模型及实现流程.该模型利用SOA技术、语义集成技术、虚拟化技术等,把物理上分布在不同地方的数据工作站,逻辑上统一起来进行管理,建立一个领域科学数据云.用户可以在任意位置、使用各种终端获取数据资源.基于科学数据云,把科学领域内的全部应用服务集成为科学数据云的服务,所提供的云服务,具有数据安全可靠、客户端低需求、无缝共享数据、容错灵活和无限扩展等特点.最后,采用本文提出的模型构建了油气井生产工程领域数据云,解决了海量、分布式异构数据源的有机集成和无缝共享问题;组建一个面向油气勘探生产领域,集生产管理、设备管理、工作流程控制、优化设计、故障诊断、辅助决策等功能为一体的"云"服务系统,实现油气勘探生产领域的数据资源、计算资源以及业务应用系统的高效整合.This paper presents a general model of Science Data Cloud and Service （ SDCS ） and its implementation. The model （ SDCS ）, using SOA, semantic integration, virtualization, and other technologies, logically unify and manage the data stations physically distributed in different areas, establishing a field-science data cloud, the user can at any location, using a variety of terminal access to data resources. Based on the Science Data Cloud, the model integrates all applications of the science data fields into cloud services, with data security and reliability, low client demand, seamless sharing of data, flexibility, fault-tolerant, and unlimited expansion characteristics. Using the proposed model we established the data Cloud in the field of oil and gas well production engineering of China, solved the massive, distributed heterogeneous data source organic integration and seamless sharing problems, and founded a ＂cloud＂ service system for the exploration production field of oil and gas, including production management, equipment management, workflow control, optimal design, fault diagnosis, decision support and other functions as one, and achieved efficient integration of data resources, computing resources , and business applications in exploration production field of oil and gas.

关 键 词：云计算 科学数据云 语义集成 虚拟化 资源整合 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]