Skip to main content

Data and Subprocess Transmission on the Edge Node of TWTBFC Model

  • Conference paper
  • First Online:
Advances in Intelligent Networking and Collaborative Systems (INCoS 2019)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dl360p gen8. www8.hp.com/h20195/v2/getpdf.aspx/c04128242.pdf?ver=2

  2. Raspberry pi 3 model b. https://www.raspberrypi.org/products/raspberry-pi-3-model-b/

  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)

    Chapter  Google Scholar 

  4. Comer, D.E.: Internetworking with TCP/IP, vol. 1. Prentice Hall, Upper Saddle River (1991)

    MATH  Google Scholar 

  5. Creeger, M.: Cloud computing: an overview. Queue 7(5), 3–4 (2009)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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. 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)

    Article  Google Scholar 

  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. 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)

    Article  Google Scholar 

  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. Rahmani, A.M., Liljeberg, P., Preden, J.-S., Jantsch, A.: Fog Computing in the Internet of Things. Springer, Cham (2018)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yinzhe Guo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Guo, Y., Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M. (2020). Data and Subprocess Transmission on the Edge Node of TWTBFC Model. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_8

Download citation

Publish with us

Policies and ethics