Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption

  title={Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption},
  author={Ruilong Deng and Rongxing Lu and Chengzhe Lai and Tom H. Luan and Hao Liang},
  journal={IEEE Internet of Things Journal},
Mobile users typically have high demand on localized and location-based information services. To always retrieve the localized data from the remote cloud, however, tends to be inefficient, which motivates fog computing. The fog computing, also known as edge computing, extends cloud computing by deploying localized computing facilities at the premise of users, which prestores cloud data and distributes to mobile users with fast-rate local connections. As such, fog computing introduces an… CONTINUE READING
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Toward secure large-scale machine-to-machine communications in 3GPP networks: challenges and solutions,”IEEE

  • C. Lai, R. Lu, D. Zheng, H. Li, X. Shen
  • Communications Magazine ,
  • 2016
1 Excerpt

Focusing on mobile users at edge and Internet of Things using fog computing

  • L. Gao, Z. Li, Y. Xiang, L. Sun, Suryawansh, G. Mandlik
  • Proc . IEEE Int . Symp . Consum . Electron…
  • 2015

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