IDEAS home Printed from https://ideas.repec.org/a/hin/complx/4592902.html
   My bibliography  Save this article

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

Author

Listed:
  • David Gil
  • Magnus Johnsson
  • Higinio Mora
  • Julian Szymański

Abstract

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.

Suggested Citation

  • David Gil & Magnus Johnsson & Higinio Mora & Julian Szymański, 2019. "Review of the Complexity of Managing Big Data of the Internet of Things," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    • Handle: RePEc:hin:complx:4592902
    DOI: 10.1155/2019/4592902
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/4592902.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/4592902.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/4592902?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. J. Hardin & R. Hoerl & Nicholas J. Horton & D. Nolan & B. Baumer & O. Hall-Holt & P. Murrell & R. Peng & P. Roback & D. Temple Lang & M. D. Ward, 2015. "Data Science in Statistics Curricula: Preparing Students to “Think with Data”," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 343-353, November.
    2. Nieuwenhuis, Lambert J.M. & Ehrenhard, Michel L. & Prause, Lars, 2018. "The shift to Cloud Computing: The impact of disruptive technology on the enterprise software business ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 308-313.
    3. Xin Liu & Yanju Zhou & Xiaohong Chen, 2018. "Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases," Complexity, Hindawi, vol. 2018, pages 1-12, January.
    4. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2017. "The Internet of Things: Are you ready for what’s coming?," Business Horizons, Elsevier, vol. 60(5), pages 667-676.
    5. FengChun Liu & YaLou Liu & DongHao Jin & XueYong Jia & TingTing Wang, 2018. "Research on Workshop-Based Positioning Technology Based on Internet of Things in Big Data Background," Complexity, Hindawi, vol. 2018, pages 1-11, October.
    6. Yuanjun Guo & Zhile Yang & Shengzhong Feng & Jinxing Hu, 2018. "Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study," Complexity, Hindawi, vol. 2018, pages 1-21, September.
    7. Mahbuba Afrin & Md. Abdur Razzaque & Iffat Anjum & Mohammad Mehedi Hassan & Atif Alamri, 2017. "Tradeoff between User Quality-Of-Experience and Service Provider Profit in 5G Cloud Radio Access Network," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zongwei Li & Jianing Chen & Zhenyu Li & Yanhui Zhang, 2024. "Strengthen or weaken? How industrial internet platform affects the core competitiveness of manufacturing companies," Operations Management Research, Springer, vol. 17(1), pages 220-232, March.
    2. Leroux, Erick & Pupion, Pierre-Charles, 2022. "Smart territories and IoT adoption by local authorities: A question of trust, efficiency, and relationship with the citizen-user-taxpayer," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Cenamor, Javier, 2021. "Complementor competitive advantage: A framework for strategic decisions," Journal of Business Research, Elsevier, vol. 122(C), pages 335-343.
    4. Drago? Tohãnean, , and & Alexandru Ilie Buzatu & Cristina-Andrada Baba & Bogdan Georgescu, 2020. "Business Model Innovation Through the Use of Digital Technologies: Managing Risks and Creating Sustainability," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(55), pages 758-758, August.
    5. Timon B. Heinis & Jan Hilario & Mirko Meboldt, 2018. "Empirical study on innovation motivators and inhibitors of Internet of Things applications for industrial manufacturing enterprises," Journal of Innovation and Entrepreneurship, Springer, vol. 7(1), pages 1-22, December.
    6. Rawhi Alrae & Qassim Nasir & Manar Abu Talib, 2020. "Developing House of Information Quality framework for IoT systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1294-1313, December.
    7. Palmaccio, Matteo & Dicuonzo, Grazia & Belyaeva, Zhanna S., 2021. "The internet of things and corporate business models: A systematic literature review," Journal of Business Research, Elsevier, vol. 131(C), pages 610-618.
    8. Binesh Jose & T. Radha Ramanan & S. D. Madhu Kumar, 2021. "A risk comparison framework for evaluating the impact of telecom cloudification in organizational risk profile," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(3), pages 421-437, November.
    9. Pappas, Nikolaos & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Marzi, Giacomo & Michopoulou, Eleni, 2021. "The complexity of decision-making processes and IoT adoption in accommodation SMEs," Journal of Business Research, Elsevier, vol. 131(C), pages 573-583.
    10. Wu, Juai & Zhang, Mengying & Xu, Tianheng & Gu, Duan & Xie, Dongliang & Zhang, Tengfei & Hu, Honglin & Zhou, Ting, 2023. "A review of key technologies in relation to large-scale clusters of electric vehicles supporting a new power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    11. Changhee Yoon & Seungyeon Moon & Heesang Lee, 2022. "Symbiotic Relationships in Business Ecosystem: A Systematic Literature Review," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    12. Kao, Ling-Jing & Chiu, Chih-Chou & Lin, Hung-Tse & Hung, Yun-Wei & Lu, Cheng-Chin, 2024. "Unveiling the dimensions of digital transformation: A comprehensive taxonomy and assessment model for business," Journal of Business Research, Elsevier, vol. 176(C).
    13. Gebauer, Heiko & Fleisch, Elgar & Lamprecht, Claudio & Wortmann, Felix, 2020. "Growth paths for overcoming the digitalization paradox," Business Horizons, Elsevier, vol. 63(3), pages 313-323.
    14. Payam Hanafizadeh & Parastou Hatami & Morteza Analoui & Amir Albadvi, 2021. "Business model innovation driven by the internet of things technology, in internet service providers’ business context," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1175-1243, December.
    15. Hamilton, R.H. & Sodeman, William A., 2020. "The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources," Business Horizons, Elsevier, vol. 63(1), pages 85-95.
    16. Arcuri, Maria Cristina & Gandolfi, Gino & Russo, Ivan, 2023. "Does fake news impact stock returns? Evidence from US and EU stock markets," Journal of Economics and Business, Elsevier, vol. 125.
    17. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    18. Cociorva Alexandru & Onofrei Nicoleta & Vîlcea Alexandru-Lucian, 2023. "Tool Integrations for Monitoring Solutions and Associated Performance Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1929-1943, July.
    19. Kurtz, Julian & Zinke-Wehlmann, Christian & Lugmair, Nina & Schymanietz, Martin & Roth, Angela, 2023. "Characterising smart service systems – Revealing the smart value," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 7(2), pages 112-128.
    20. Roger W. Hoerl & Ronald D. Snee, 2017. "Statistical Engineering: An Idea Whose Time Has Come?," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 209-219, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:4592902. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.