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Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud
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 (4)
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Jerzy Balicki dr hab. inż.
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Honorata Balicka
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Computer Information Systems and Industrial Management strony 332 - 344
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Balicki J., Balicka H., Dryja P., Tyszka M.: Multi-criteria Differential Evolution for Optimization of Virtual Machine Resources in Smart City Cloud// Computer Information Systems and Industrial Management/ : , 2020, s.332-344
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-47679-3_28
- Verified by:
- Gdańsk University of Technology
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