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Big Data Analysis and IoT

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Encyclopedia of Big Data Technologies

Abstract

With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, but several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing big IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume but also noisy and continuous. This entry discusses characteristics of IoT data, potential applications in IoT, and open research issues for IoT data management.

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Author information

Authors and Affiliations

  1. School of Computing and Engineering, University of Huddersfield, Huddersfield, UK

    Yongrui Qin

  2. Department of Computing, Macquarie University, Sydney, NSW, Australia

    Quan Z. Sheng

Authors
  1. Yongrui Qin
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  2. Quan Z. Sheng
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Correspondence to Quan Z. Sheng .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Sherif Sakr

  2. School of Information Technologies, Sydney University, Sydney, Australia

    Albert Y. Zomaya

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Qin, Y., Sheng, Q.Z. (2019). Big Data Analysis and IoT. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_308

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