Scinovex
articleTop 1% cited

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

IEEE Internet of Things Journal · 2016 · Vol. 4(1) · pp. 75–87
Hongming CaiBoyi XuLihong JiangAthanasios V. Vasilakos

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.

IoT and Edge/Fog ComputingCloud Computing and Resource ManagementDistributed systems and fault toleranceCloud computingInternet of ThingsBig dataComputer scienceData scienceField (mathematics)Key (lock)Open researchWorld Wide WebComputer security

Funding

  • National Natural Science Foundation of China
Citations
582
FWCI
49.19
field-weighted impact
References
87
Percentile
100%
vs. same field & year
Citations per year
Cited by
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

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