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Title:
massive heterogeneous sensor data management in the internet of things
Author: Zhiming Ding ; Qi Yang ; Hong Wu
Source: Proceedings - 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing, iThings/CPSCom 2011
Conference Name: 2011 IEEE International Conference on Internet of Things, iThings 2011 and 4th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2011
Conference Date: October 19, 2011 - October 22, 2011
Issued Date: 2011
Conference Place: Dalian, China
Keyword: Data processing ; Internet
Indexed Type: EI
ISBN: 9780769545806
Department: (1) Institute of Software Chinese Academy of Sciences South-Fourth-Street 4 Zhongguancun Haidian District Beijing 100190 China; (2) National Center of ITS Engineering and Technology Xitucheng-Road 8 Haidian District Beijing 100088 China
Sponsorship: IEEE; IEEE Computer Society; IEEE Technical Committee on Scalable Computing (TCSC)
Abstract: In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloudbased massive heterogeneous sensor Data Management ("SeaCloudDM") framework in order to meet these challenges. The experimental results show that SeaCloudDM provides satisfactory query processing performances for massive sensor sampling data. © 2011 IEEE.
English Abstract: In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloudbased massive heterogeneous sensor Data Management ("SeaCloudDM") framework in order to meet these challenges. The experimental results show that SeaCloudDM provides satisfactory query processing performances for massive sensor sampling data. © 2011 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16286
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhiming Ding,Qi Yang,Hong Wu. massive heterogeneous sensor data management in the internet of things[C]. 见:2011 IEEE International Conference on Internet of Things, iThings 2011 and 4th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2011. Dalian, China. October 19, 2011 - October 22, 2011.
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