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International Conference on Broadband and Wireless Computing, Communication and Applications

BWCCA 2020: Advances on Broad-Band Wireless Computing, Communication and Applications pp 22–33Cite as

Multi-source and Multi-target Node Selection in Energy-Efficient Fog Computing Model

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 159))

Abstract

In the fog computing model to realize the IoT, each fog node supports application processes to calculate output data on input data received from a fog node and sends the output data to another fog node. In our previous studies, types of the TBFC (Tree-Based Fog Computing) models are proposed to reduce the electric energy consumption and execution time of fog nodes and servers and to be tolerant of node faults. In the TBFC models, the tree structure of fog nodes is not changed even if some fog node is overloaded and underloaded. In this paper, we consider the DNFC (Dynamic Network-based Fog Computing) model. Here, there is one or more than one possible target fog node for each fog node and also one or more than one possible source node for each target node. A pair of a source node and target node which exchange data have to be selected. In this paper, we propose an MSMT (Multi-Source and Multi-Target node selection) protocol among multiple source and target nodes. Here, a pair of a source node and a target node are selected so that the total energy consumption of the nodes can be reduced. In the evaluation, we show the total energy consumption and total execution time by target nodes can be more reduced in the MSMT protocol.

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Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Yinzhe Guo, Takumi Saito, Lei Li & Makoto Takizawa

  2. Tokyo Metropolitan Industrial Technology Research Institute, Tokyo, Japan

    Shigenari Nakamura

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Yinzhe Guo
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  2. Takumi Saito
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  3. Shigenari Nakamura
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  4. Tomoya Enokido
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  5. Lei Li
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  6. Makoto Takizawa
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Corresponding author

Correspondence to Yinzhe Guo .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Computer Science and Information Engineering, Asian University, Taichung, Taiwan

    Hsing-Chung Chen

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

    Keita Matsuo

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Guo, Y., Saito, T., Nakamura, S., Enokido, T., Li, L., Takizawa, M. (2021). Multi-source and Multi-target Node Selection in Energy-Efficient Fog Computing Model. In: Barolli, L., Takizawa, M., Enokido, T., Chen, HC., Matsuo, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2020. Lecture Notes in Networks and Systems, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-030-61108-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-61108-8_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61107-1

  • Online ISBN: 978-3-030-61108-8

  • eBook Packages: EngineeringEngineering (R0)

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