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Data and Subprocess Transmission on the Edge Node of TWTBFC Model

  • 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 1035)

Abstract

In our previous studies, the TBFC (Tree-Based Fog Computing) model is proposed to reduce the electric energy consumed by fog nodes and servers in the fog computing model. Here, fog nodes are hierarchically structured in a height-balanced tree, where a root node is a cloud of servers and leaf nodes are edge nodes which communicate with devices. Each node receives data from child nodes and sends the processed data to a parent node. In the TWTBFC (Two-Way TBFC) model, is nodes send processed data not only to a parent node but also to each child node. Then, edge nodes make a decision on actions of their child actuators. However, in addition to messages to be delivered to servers, more number of messages are transmitted to edge nodes. In this paper, in order to reduce the number of messages which each fog node sends to the child nodes, each node only at some level of the tree collect output data of the other nodes of the same level. The nodes are referred to as aggregate nodes. Then, each aggregate node sends the collected data to the descendant edge nodes. Each edge node makes a decision or actions and send actions to the child actuators by using the data.

Keywords

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

References

  1. 1.
  2. 2.
  3. 3.
    Chida, R., Guo, Y., Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Implementation of fog nodes in the tree-based fog computing (TBFC) model of the IoT. In: Proceedings of the 7th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2019), pp. 92–102 (2019)CrossRefGoogle Scholar
  4. 4.
    Comer, D.E.: Internetworking with TCP/IP, vol. 1. Prentice Hall, Upper Saddle River (1991)zbMATHGoogle Scholar
  5. 5.
    Creeger, M.: Cloud computing: an overview. Queue 7(5), 3–4 (2009)CrossRefGoogle Scholar
  6. 6.
    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
  7. 7.
    Enokido, T., Ailixier, A., Takizawa, M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. Industr. Electron. 58(6), 2097–2105 (2011)CrossRefGoogle Scholar
  8. 8.
    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. Industr. Inf. 10, 1627–1636 (2014)CrossRefGoogle Scholar
  9. 9.
    Guo, Y., Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Evaluation of a two-way tree-based fog computing (TWTBFC) model. In: Proceedings of the 13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2019), pp. 72–81 (2019)Google Scholar
  10. 10.
    Guo, Y., Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: A two-way flow model for fog computing. In: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019), pp. 612–620 (2019)Google Scholar
  11. 11.
    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
  12. 12.
    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
  13. 13.
    Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: A fault-tolerant tree-based fog computing model (accepted). Int. J. Web Grid Serv. (IJWGS) 15(3), 219–239 (2019)CrossRefGoogle Scholar
  14. 14.
    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
  15. 15.
    Rahmani, A.M., Liljeberg, P., Preden, J.-S., Jantsch, A.: Fog Computing in the Internet of Things. Springer, Cham (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

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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