Cited by 588Internet of Things and AIIoT and Edge/Fog ComputingCloud Computing and Resource Management

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IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

Cai, Hongming, Xu, Boyi, Jiang, Lihong, Vasilakos, Athanasios V.·2017·IEEE Internet of Things Journal

DOI 10.1109/jiot.2016.2619369

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Abstract

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.

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Authors: Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V.
Affiliations: Shanghai Jiao Tong University (CN)
Luleå University of Technology (SE)
ORCID: Cai, Hongming
Xu, Boyi
Jiang, Lihong
Vasilakos, Athanasios V.
Venue: IEEE Internet of Things Journal
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2017-02
Volume: 4
Issue: 1
Pages: 75-87
ISSN: 2327-4662 (ISSN-L)
2372-2541
DOI: 10.1109/jiot.2016.2619369
OpenAlex: W2532521045
Cited by: 588
References: 80
Citations by year: 2026: 7 · 2025: 32 · 2024: 56 · 2023: 55 · 2022: 80 · 2021: 93 · 2020: 104 · 2019: 76 · 2018: 64 · 2017: 21
FWCI: 119.79
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Internet of Things Journal (publishedVersion)
ELARTU (Ternopil National Technical University) (submittedVersion)
Funders: National Natural Science Foundation of China (61373030, 71171132)
Topics: Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
Keywords: Internet of Things, big data storage, cloud computing, IoT data acquisition, data management, data processing, data mining, functional framework, research challenges

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IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

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