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IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
School of Software, Shanghai Jiao Tong University.
College of Economics and Management, Shanghai Jiao Tong University.
School of Software, Shanghai Jiao Tong University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
Number of Authors: 4
2017 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 4, no 1, 75-87 p., 7600359Article in journal (Refereed) Published
Abstract [en]

Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework

Place, publisher, year, edition, pages
2017. Vol. 4, no 1, 75-87 p., 7600359
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-62658DOI: 10.1109/JIOT.2016.2619369ISI: 000395769400007Scopus ID: 2-s2.0-85015235861OAI: oai:DiVA.org:ltu-62658DiVA: diva2:1084296
Note

Validerad; 2017; Nivå 2; 2017-03-24 (andbra)

Available from: 2017-03-24 Created: 2017-03-24 Last updated: 2017-04-10Bibliographically approved

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