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

David Gil; Magnus Johnsson; Higinio Mora; Julian Szymański

doi:10.1155/2019/4592902

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

Abstract

Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (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 classifcations, 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 Tings is exposed. Te 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.

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Keywords

IOT, BIG DATA

Details

Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: COMPLEXITY no. 2019, pages 1 - 13,
ISSN: 1076-2787
Language:: English
Publication year:: 2019
Bibliographic description:: Gil D., Johnsson M., Mora H., Szymański J.: Review of the Complexity of Managing Big Data of the Internet of Things// COMPLEXITY. -Vol. 2019, (2019), s.1-13
DOI:: Digital Object Identifier (open in new tab) 10.1155/2019/4592902
Verified by:: Gdańsk University of Technology