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.
Authors
- dr hab. inż. Jerzy Balicki,
- Honorata Balicka,
- mgr inż. Piotr Dryja link open in new tab ,
- Maciej Tyszka link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-030-47679-3_28
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2020
