seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data

ISCAS OpenIR

	seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data
	Ding Zhiming; Xu Jiajie; Yang Qi
	2012
发表期刊	Journal of Supercomputing
ISSN	9208542
页码	40933
摘要	Recent advances in sensor networks and communication technologies have made the Internet of Things (IoT) a hot research issue. An IoT system can sample and manage the historical and present states of various kinds of physical and virtual objects such as vehicles, lakes, mountains, dams, city traffic conditions, atmosphere qualities, and so forth. It is well acknowledged that IoT will greatly change the way how people live and work. However, IoT also brings about great challenges to the data management community. For instance, the data to be managed in IoT are highly dynamic and heterogeneous. Meanwhile, since the sensor sampling data are managed in a centralized manner, the data size can be huge. Moreover, sensor data are intrinsically spatial-temporal data which may involve complicated spatial-temporal computations in query processing. To meet these challenges, we propose a novel Sea-Cloud-based Data Management (SeaCloudDM) mechanism in this paper. The experimental results show that the SeaCloudDM mechanism provides satisfactory performances in managing and querying massive sensor sampling data, and is thus a viable solution for IoT data management. © 2012 Springer Science+Business Media, LLC.
收录类别	ei
部门归属	(1) Institute of Software, Chinese Academy of Sciences, South-Fourth-Street 4, Zhong-Guan-Cun, Beijing, 100190, China; (2) National Center of ITS Engineering and Technology, Xitucheng-Road. 8, Haidian District, Beijing, 100088, China
语种	英语
WOS记录号	WOS:000326805000009
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14715
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ding Zhiming,Xu Jiajie,Yang Qi. seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data[J]. Journal of Supercomputing,2012:40933.
APA	Ding Zhiming,Xu Jiajie,&Yang Qi.(2012).seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data.Journal of Supercomputing,40933.
MLA	Ding Zhiming,et al."seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data".Journal of Supercomputing (2012):40933.