DocumentCode :
2949107
Title :
Preliminary Study on Data Management Technologies of Internet of Things
Author :
Zhonglin, He ; Yuhua, He
Author_Institution :
Coll. of Math. & Comput. Sci., Huanggang Normal Univ., Huanggang, China
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
137
Lastpage :
140
Abstract :
Internet of Things (IOF) is the outcome of the combination of sensor technology and Internet development. It is an important part of future Internet. Due to the complexity and unpredictability of IOF, data management of IOF faces great challenges. This paper first briefly introduces the concept of IOF. Based on the characteristics of IOF such as mass scale, data polymorphism, rich semantic, and real-time query, it then emphatically analyzes data quality control technology, data fusion and integration technology, data query and optimization technology, complex event processing technology, data storage and compression technology of IOF.
Keywords :
Internet; data compression; data handling; information storage; query processing; sensor fusion; Internet of Things; complex event processing technology; data compression technology; data fusion technology; data integration technology; data management technology; data optimization technology; data quality control technology; data query technology; data storage technology; sensor technology; Indexes; Internet; Monitoring; Peer to peer computing; Radiofrequency identification; Real time systems; Semantics; Analysis; Data Management; The Internet of Things;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
Type :
conf
DOI :
10.1109/ISIE.2011.63
Filename :
5997397
Link To Document :
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