摘要
针对汽车产业链大规模企业群的多源异构数据交换需求,提出了基于第三方云服务平台的数据交换解决方案。在分析数据交换交互关系的基础上,构建了一套通用的第三方Web服务数据交换授权认证机制。为解决数据交换内容动态可变的难题,设计了一套柔性化、动态可配置的数据交换规则框架。通过分析数据交换状态转移模型,研究了云服务平台与整车制造企业的数据交换过程体系。分析了交换过程的数据同步性与一致性问题,并采用算法给出了级联耦合关系数据实体的处理方式,保障了关联数据交换的完整性。应用表明研究成果解决了云服务平台与多源异构数据源的数据交换问题,支撑了汽车产业链大规模企业群的多业务协同信息交互。
Aiming at multi-source heterogeneous data of automobile industry chain of large-scale enterprise group exchange requirements,this paper proposed data exchange solution based on third-party cloud services platform. Based on the analysis of data on the relationship between the exchange interaction,it constructed a set of general third-party Web service data exchange authorization authentication mechanism. To solve the dynamic variable content data exchange problem,it desiged a flexible,dynamically configurable data exchange framework of rules. By analyzing the data exchange state transition model,the cloud serviced platform and vehicle manufacturing enterprise data exchange system. Analysis of the data exchange process synchronization and consistency problems,and using the algorithm gave the treatment cascade coupling between relation data entities,to protect the integrity of the associated data exchange. Application of research results indicate that solves the problem of cloud services platform for data exchange and multi-source heterogeneous data sources,supporting the multi-business collaboration and information integration interaction in the large-scale enterprise group of automotive industry chain.
出处
《计算机应用研究》
CSCD
北大核心
2015年第5期1403-1408,1436,共7页
Application Research of Computers
基金
国家"863"高技术研究发展计划基金资助项目(2013AA040606)
国家科技支撑计划资助项目(2012BAH20F01)
制造业产业链协同与信息化支撑技术重点实验室开放项目(201301)
关键词
云服务平台
数据交换
多源异构
交换规则
同步一致性
级联耦合
cloud services platform
data exchange
multi-source heterogeneous
exchange rules
synchronous consistency
cascade coupling