Research of big Data Space-time Analytics for Clouding based Contexts-aware IOV Applications

摘要：

　　With the rapid development of Internet of Things and Big Data analysis,the computing mode of the 21st century is undergoing profound reform.But these technologies bring great challenges such as more multiple-dimensional and more numerous information with wide-area and heterogeneous sensor networks to classical context-aware frameworks at the same time.The IOV(Internet of Vehicles)applications is one kind of the typical IOT(Internet of Things)applications and the data involved in them are more and more big which need more complex querying or analyzing methods.Therefore,we have researched the big data problems in IOV applications and put forward the clouding based big data space-time analytics methods for contexts storing and contexts querying to improve the analysis efficiency of the systems.By these methods,we can improve the capability of the complex IOV applications for dealing the numerous contexts.

关键词： Clouding Big Data Internet of Things Internet of Vehicles Context-aware Space-Time Contexts

作者: Di Zheng Kerong Ben HongLiang Yuan

作者单位: Department of Computer Science Naval University of Engineering Wuhan,HuBei,China 430033 University of National Defense and Technology Changsha,HuNan,China 410073

会议类型: 国际会议

会议名称: 2014 2nd International Conference on Advanced Cloud and Big Data (CBD 2014)(2014年先进云计算和大数据国际会议)

会议地点: 安徽黄山

会议语种:英文

页码: 150-156

在线出版日期: 2014-11-20（万方平台首次上网日期，不代表论文的发表时间）