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Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud

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Computer Information Systems and Industrial Management (CISIM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12133))

Abstract

In a smart city, artificial intelligence tools support citizens and urban services. From the user point of view, smart applications should bring computing to the edge of the cloud, closer to citizens with short latency. However, from the cloud designer point of view, the trade-off between cost, energy and time criteria requires the Pareto solutions. Therefore, the proposed multi-criteria differential evolution can optimize virtual machine resources in smart city clouds to find compromises between preferences of citizens and designers. In this class of distributed computer systems, smart mobile devices share computing workload with the set of virtual machines that can be migrated among the nodes of the cloud. Finally, some numerical results are studied for the laboratory cloud GUT-WUT.

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Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa Street 75, 00-662, Warsaw, Poland

    Jerzy Balicki

  2. Sopot University of Applied Sciences, Rzemieślnicza Street 5, 81-855, Sopot, Poland

    Honorata Balicka

  3. Faculty of Telecommunications, Electronics and Informatics, Gdańsk University of Technology, Narutowicza Street 11/12, 80-233, Gdańsk, Poland

    Piotr Dryja & Maciej Tyszka

Authors
  1. Jerzy Balicki
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  2. Honorata Balicka
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  3. Piotr Dryja
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  4. Maciej Tyszka
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Corresponding author

Correspondence to Jerzy Balicki .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. VSB - Technical University of Ostrava, Ostrava, Czech Republic

    Jiří Dvorský

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Balicki, J., Balicka, H., Dryja, P., Tyszka, M. (2020). Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science(), vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-47679-3_28

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