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

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...

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Veröffentlicht in:IEEE internet of things journal 2017-02, Vol.4 (1), p.75-87
Hauptverfasser: Cai, Hongming, Xu, Boyi, Jiang, Lihong, Vasilakos, Athanasios V.
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creator Cai, Hongming
Xu, Boyi
Jiang, Lihong
Vasilakos, Athanasios V.
description 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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subjects Big Data
business intelligence
Cloud computing
data management
Data models
Data processing
Data storage
Distribuerade datorsystem
Distributed databases
distributed processing
Internet of Things
Internet of Things (IoT) applications
performance isolation
Pervasive Mobile Computing
Semantics
Sensors
title IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
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