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Color Tracking Application Using AI-Based Docker Container Scheduling in Fog Computing

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Progress on Pattern Classification, Image Processing and Communications (CORES 2023, IP&C 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 766))

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Abstract

This paper presents the real implementation of a fog computing environment for the execution of color tracking applications by using FogBus2 framework and an artificial intelligence based docker container scheduling. To be precise, an edge computing network has been developed by using a personal computer and several small computing devices such as Raspberry Pi and Nvidia Jetson Nano. Related to the scheduling policy, besides the existing policies in Fogbus2 framework, another one based on fuzzy rules-based system has been designed. Results demonstrate the proposed policy outperforms classical approaches, even when using, pavin the way to the use of knowledge acquisition techniques in order to improve the scheduling performance in terms of makespan and flowtime.

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Author information

Authors and Affiliations

  1. Faculty of Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, Bydgoszcz, Poland

    Rafal Chrobak, Tomasz Marciniak & Adam Marchewka

  2. Telecommunications Engineering Department, University of Jaén, Linares (Jaén), Spain

    Sebastián García Galán, Enrique Munoz Expósito & Manuel Valverde Ibanez

Authors
  1. Rafal Chrobak
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  2. Sebastián García Galán
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  3. Enrique Munoz Expósito
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  4. Manuel Valverde Ibanez
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  5. Tomasz Marciniak
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  6. Adam Marchewka
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Corresponding author

Correspondence to Sebastián García Galán .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Robert Burduk

  2. University of Technology and Life Science, Bydgoszcz, Poland

    Michał Choraś

  3. University of Technology and Life Science, Bydgoszcz, Poland

    Rafał Kozik

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Ksieniewicz

  5. University of Technology and Life Science, Bydgoszcz, Poland

    Tomasz Marciniak

  6. Wrocław University of Science and Technology, Wrocław, Poland

    Paweł Trajdos

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Chrobak, R., Galán, S.G., Expósito, E.M., Ibanez, M.V., Marciniak, T., Marchewka, A. (2023). Color Tracking Application Using AI-Based Docker Container Scheduling in Fog Computing. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_17

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