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Data Exchange Algorithm at Aggregate Level in the TWTBFC Model

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

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Abstract

In the TBFC (Tree-Based Fog Computing) and TWTBFC (Two-Way TBFC) models the electric energy consumed by fog nodes and servers can be reduced in the fog computing (FC) model. Here, fog nodes are hierarchically structured in a height-balanced tree, where a root node is a cloud of servers, leaf nodes are edge nodes which communicate with devices, and each node receives data from child nodes and sends the processed data to a parent node. In the TWTBFC model, nodes send processed data to not only a parent node but also each child node. In order to reduce the network traffic in the TWTBFC model, only aggregate nodes at some level collect the output data of every other aggregate node, i.e. aggregate data. Since only target actuators are to be activated, the aggregate data has to be only delivered to target actuators. Nodes whose descendant actuators are target ones are relay nodes. On receipt of aggregate data, only relay nodes forward the aggregate data to the child nodes. We evaluate the new TWTBFC model in terms of energy consumption of nodes and number of messages transmitted to deliver aggregate data to edge nodes.

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

    Article  Google Scholar 

  5. 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 

  6. Enokido, T., Ailixier, A., Takizawa, M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. Ind. Electron. 58(6), 2097–2105 (2011)

    Article  Google Scholar 

  7. 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. Inf. 10, 1627–1636 (2014)

    Article  Google Scholar 

  8. Guo, Y., Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Data and subprocess transmission on the edge node of TWTBFC model. In: The 11th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2019) (2019, Accepted)

    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.: Evaluation of data and subprocess transmission strategies in the tree-based fog computing (TBFC) model. In: Proceedings of the 22nd International Conference on Network-Based Information Systems (NBiS-2019) (2019, Accepted)

    Google Scholar 

  14. Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: A fault-tolerant tree-based fog computing model. Int. J. Web Grid Serv. (IJWGS) (2019, Accepted)

    Google Scholar 

  15. 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 

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

    Book  Google Scholar 

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Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Yinzhe Guo, Ryuji Oma, Shigenari Nakamura & Makoto Takizawa

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Yinzhe Guo
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  2. Ryuji Oma
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  3. Shigenari Nakamura
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  4. Tomoya Enokido
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  5. Makoto Takizawa
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Corresponding author

Correspondence to Yinzhe Guo .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Guo, Y., Oma, R., Nakamura, S., Enokido, T., Takizawa, M. (2020). Data Exchange Algorithm at Aggregate Level in the TWTBFC Model. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

  • eBook Packages: EngineeringEngineering (R0)

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