Encyclopedia of Wireless Networks

Living Edition
| Editors: Xuemin (Sherman) Shen, Xiaodong Lin, Kuan Zhang

Data-Driven Edge Computing

  • Siguang ChenEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32903-1_91-1



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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Nanjing University of Posts and TelecommunicationsNanjingChina

Section editors and affiliations

  • Song Guo
    • 1
  1. 1.Department of ComputingThe Hong Kong Polytechnic UniversityKowloonHong Kong