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IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
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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“Such a validation process is essential, since it provides a decentralized solution to the Byzantine Generals' Problem [13] that shows how to reach an agreement among different entities (generals) to do something (a battle plan) when such entities do not trust each other and when they only exchange messages that may be malicious (i.e., they may come from traitors).”
From A Review on the Application of Blockchain to the Next Generation of Cybersecure Industry 4.0 Smart Factories (2019) · cites this paper as [13]
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Metadata
- Authors
- Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Luleå University of Technology (SE)
- Venue
- IEEE Internet of Things Journal
- Published
- 2017-02
- Volume
- 4
- Issue
- 1
- Pages
- 75-87
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- 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
- 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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