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. Attached Files Name Description MIMEType Size Downloads Title Big data sensing and service: a tutorial Author(s) Gao, Jerry Lei, Lihui 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 23 May 2016, 17:03:17 EST Mon, 23 May 2016, 17:04:19 EST Tue, 24 May 2016, 05:17:00 EST Tue, 24 May 2016, 06:07:52 EST Wed, 01 Jun 2016, 11:22:17 EST Wed, 01 Jun 2016, 11:24:08 EST Mon, 18 Jul 2016, 16:07:47 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 252 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 23 May 2016, 17:04:19 EST

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