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A Two-Way Flow Model for Fog Computing

  • Yinzhe GuoEmail author
  • Ryuji Oma
  • Shigenari Nakamura
  • Dilawaer Duolikun
  • Tomoya Enokido
  • Makoto Takizawa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)

Abstract

In our previous studies, the TBFC (Tree-Based Fog Computing) model of the IoT is proposed to reduce the electric energy consumed by fog nodes and servers. Here, fog nodes are hierarchically structured in a height-balanced tree. A root node shows a cloud of servers and leaf nodes indicate edge fog nodes which communicate with sensors and actuators. First, sensor data is sent to edge fog nodes. Each fog node receives data from child fog nodes, processes the data, and sends the processed data to a parent fog node. Finally, servers receive sensor data processes by fog nodes and send actions to actuators. Thus, sensor data is sent upwards to a root node from sensors and action are sent downward to actuators from the root node. In order to more promptly deliver actions to actuators, we newly propose a TWTBFC (Two-Way TBFC) model where fog nodes not only send processed data to a parent fog node but also send both the processed data and data received from the child fog node to each child fog node. Thus, each fog node can get more global information, i.e. not only data from child fog nodes but also data from sibling fog nodes. Fog nodes nearer to edge fog nodes decide on actions by using the data and send the actions to child fog nodes.

Keywords

Energy-efficient fog computing IoT (Internet of Things) Tree-based fog computing (TBFC) model Two-Way TBFC (TWTBFC) model 

Notes

Acknowledgements

This work was supported by JSPS KAKENHI grant number 15H0295.

References

  1. 1.
    Creeger, M.: Cloud computing: an overview. Queue 7(5), 3–4 (2009)CrossRefGoogle Scholar
  2. 2.
    Enokido, T., Ailixier, A., Takizawa, M.: A model for reducing power consumption in peer-to-peer systems. IEEE Syst. J. 4, 221–229 (2010)CrossRefGoogle Scholar
  3. 3.
    Enokido, T., Ailixier, A., Takizawa, M.: An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems. IEEE Trans. Ind. Inform. 10, 1627–1636 (2014)CrossRefGoogle Scholar
  4. 4.
    Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: An energy-efficient model for fog computing in the internet of things (IoT). Internet Things 1–2, 14–26 (2018)CrossRefGoogle Scholar
  5. 5.
    Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Evaluation of an energy-efficient tree-based model of fog computing. In: Proceedings of the 21st International Conference on Network-Based Information Systems (NBiS-2018), pp. 99–109 (2018)Google Scholar
  6. 6.
    Oma, R., Nakamura, S., Enokido, T., Takizawa, M.: A tree-based model of energy-efficient fog computing systems in IoT. In: Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018), pp. 991–1001 (2018)Google Scholar
  7. 7.
    Rahmani, A.M., Liljeberg, P., Preden, J.-S., Jantsch, A.: Fog Computing in the Internet of Things. Springer, Heidelberg (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yinzhe Guo
    • 1
    Email author
  • Ryuji Oma
    • 1
  • Shigenari Nakamura
    • 1
  • Dilawaer Duolikun
    • 1
  • Tomoya Enokido
    • 2
  • Makoto Takizawa
    • 1
  1. 1.Hosei UniversityTokyoJapan
  2. 2.Rissho UniversityTokyoJapan

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