摘要
物联网中存在射频识别设备、传感器、智能嵌入设备等数目众多的异质设备,运行着用于标识、感知、处理和传送信息的各类服务,因而存在大量、非连续且时间敏感的数据。这类数据对保证物联网产业链的正常运转非常重要,但现有的数据管理方法不能有效解决其存储与查询问题。基于此,针对物联网数据多维、多态的特征,在面向服务的物联网数据管理框架上,以都柏林元数据标准为基础,制定了支持学习的物联网数据多级元数据标准。设计了从XML元数据描述到关系数据库存储的数据处理流程,提出了优化的数据存储与查询方案。最后对提出的存储与查询方案进行了验证。
Internet of Things includes radio frequency identification devices,sensors,smart embedded devices and other heterogeneous devices,in which the services used to mark,perceive,treat,and transmit information are running.So there are a large amount of non-continuous and time-sensitive data.These kinds of data are very important to ensure the normal operation of the industrial chain.However,the existing data management technologies can not fit the need of storage and query of these data.For multidimensional and polymorphic data and data with other features in the Internet of Things,we proposed a multi-level metadata standard with learning support based on service-oriented data management framework of Internet of Things and Dublin metadata standard.Then we designed a process from XML metadata description to data stored in relational databases.Optimized data storage and query programs were proposed.Finally we verified the proposed storage and query schemes.
出处
《计算机科学》
CSCD
北大核心
2015年第3期185-190,共6页
Computer Science
基金
国家自然科学基金"可信软件基础研究"重大研究计划重点项目(91118003)
国家自然科学基金面上项目(60873208
61170022
61373039
61373160)
河北省自然基金(F2009000927)
河北省科技攻关重点项目(10213517D)资助
关键词
物联网
元数据
存储
查询
Internet of things
Metadata
Storage
Query
