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Big data sensing and service: a tutorial

Gao, Jerry, Lei, Lihui and Yu, Shui 2015, Big data sensing and service: a tutorial, in BigDataService 2015: Proceedings of the 1st IEEE International Conference on Big Data Computing Service and Applications, IEEE, Piscataway, N.J., pp. 79-88, doi: 10.1109/BigDataService.2015.45.

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Title Big data sensing and service: a tutorial
Author(s) Gao, Jerry
Lei, Lihui
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Conference name IEEE International Conference on Big Data Computing Service and Applications (1st: 2015 : San Francisco, California)
Conference location San Francisco, California
Conference dates 30 Mar-02 Apr. 2015
Title of proceedings BigDataService 2015: Proceedings of the 1st IEEE International Conference on Big Data Computing Service and Applications
Publication date 2015
Start page 79
End page 88
Total pages 10
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) big data sensing
sensor-based big data analytics
Internet of Things
sensor cloud
sensor big data
Summary As the advance of the Internet of Things (IoT), more M2M sensors and devices are connected to the Internet. These sensors and devices generate sensor-based big data and bring new business opportunities and demands for creating and developing sensor-oriented big data infrastructures, platforms and analytics service applications. Big data sensing is becoming a new concept and next technology trend based on a connected sensor world because of IoT. It brings a strong impact on many sensor-oriented applications, including smart city, disaster control and monitor, healthcare services, and environment protection and climate change study. This paper is written as a tutorial paper by providing the informative concepts and taxonomy on big data sensing and services. The paper not only discusses the motivation, research scope, and features of big data sensing and services, but also exams the required services in big data sensing based on the state-of-the-art research work. Moreover, the paper discusses big data sensing challenges, issues, and needs.
ISBN 9781479981281
Language eng
DOI 10.1109/BigDataService.2015.45
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083633

Document type: Conference Paper
Collection: School of Information Technology
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