A Unified Storage and Query Optimization Framework for Sensor Data

摘要：

　　With the development of Internet of Things (IoT),large amounts of sensor data, which has the characteristics of multi-source, high speed and large volumes, etc., are generated.Traditional data storage and query approaches cannot handle them properly.To deal with such limitations, a unified storage and query optimization framework, named DeCloud-RealBase, is proposed towards the management of large volumes of sensor data.An adaptation layer is applied to connect the bottom-layer database clusters and basic database operations can be realized by top-layer applications through a unified interface.Furthermore, Caching technology, data partition strategy and multi-threading technology are applied to realize data storage and query in a high performance manner.Experiments demonstrate that DeCloud-RealBase is capable of handling the storage and query of sensor data with an excellent performance.

关键词： sensor data data management database cluster adaptation layer

作者: Ting Lu Jun Fang Cong Liu

作者单位: Cloud Computing Research Center,North China University of Technology.Beijing Key Laboratory on Integ College of Information Science and Engineering,Shandong University of Science and Technology.Qingdao

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 229-234

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）