Review of the Complexity of Managing Big Data of the Internet of Things

There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integr...

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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2019-01, Vol.2019 (2019), p.1-12
Main Authors: Szymański, Julian, Mora Mora, Higinio, Johnsson, Magnus, Gil, David
Format: Article
Language:English
Subjects:
Artificial intelligence
Big Data
Cloud computing
Complexity
Data management
Data mining
Data processing
Document markup languages
Extensible Markup Language
Interdisciplinary Applications
International conferences
Internet of Things
Localization
Machine learning
Mathematics
Multidisciplinary Sciences
Sensors
State-of-the-art reviews
Trends
Visualization
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Summary:There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations. In this review, the state of the art of all the aforementioned aspects of Big Data in the context of the Internet of Things is exposed. The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well. Finally, we also point the reader to the state-of-the-art literature for further in-depth studies, and we present the major trends for the future.
ISSN:1076-2787
1099-0526
1099-0526
DOI:10.1155/2019/4592902