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Data-Driven Edge Computing

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Encyclopedia of Wireless Networks

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Synonyms

Edge computing; Fog computing; Local cloud; Mobile edge computing

Definition

Data-driven edge computing (also similar with local cloud and fog computing) (Lopez et al. 2015; Satyanarayanan et al. 2009; Bonomi et al. 2012; Milan et al. 2014) is a model to complement cloud computing systems by performing data processing at the edge of the network, near the source of the data. As the era of big data has arrived, billions of connected devices generating petabytes of data will demand nearby computing resources to provide real-time (or low latency) data services, edge computing decentralizes the concentration of computing resources and brings the computing closer to the devices requesting that computing power, which can improve the quality of service (QoS) and user experience significantly.

Historical Background

With the rapid and continuous deployment of enormous number of data sensing devices (such as sensors, smart meters, smart glasses, smart phones, smart vehicles, etc.), the...

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Author information

Authors and Affiliations

  1. Nanjing University of Posts and Telecommunications, Nanjing, China

    Siguang Chen

Authors
  1. Siguang Chen
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Corresponding author

Correspondence to Siguang Chen .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo , Waterloo, ON, Canada

    Xuemin (Sherman) Shen

  2. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Xiaodong Lin

  3. Dpt.of Electrical & Computer Engineering, University of Nebraska–Lincoln, Omaha, NE, USA

    Kuan Zhang

Section Editor information

  1. Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Song Guo

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Chen, S. (2019). Data-Driven Edge Computing. In: Shen, X., Lin, X., Zhang, K. (eds) Encyclopedia of Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-32903-1_91-1

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  • DOI: https://doi.org/10.1007/978-3-319-32903-1_91-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32903-1

  • Online ISBN: 978-3-319-32903-1

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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