Optimizing resource and energy allocation in cloud computing using genetic algorithm and fog nodes
| dc.contributor.advisor | Cansever, Galip | |
| dc.contributor.author | Al-Abbasi, Sohaib Naseer Lateef | |
| dc.date.accessioned | 2023-09-13T13:02:20Z | |
| dc.date.available | 2023-09-13T13:02:20Z | |
| dc.date.issued | 2022 | en_US |
| dc.date.submitted | 2022 | |
| dc.department | Enstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı | en_US |
| dc.description.abstract | This paper’s proposal is that Cloud administrators are responsible for providing resources, but users are responsible for ensuring that information travels to and from the cloud safely and securely. The supply of resources has to be understood in layers, with each layer representing a distinct genre of goods that may be offered in various ways, and in this context, we suggest the employment of genetic algorithms and fog nodes to accomplish the ideal route to the clouds and back. | en_US |
| dc.identifier.citation | Al-Abbasi, Sohaib Naseer Lateef. (2022). Optimizing resource and energy allocation in cloud computing using genetic algorithm and fog nodes. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12939/3969 | |
| dc.identifier.yoktezid | 800825 | |
| dc.institutionauthor | Al-Abbasi, Sohaib Naseer Lateef | |
| dc.language.iso | en | |
| dc.publisher | Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü | en_US |
| dc.relation.publicationcategory | Tez | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | GA | en_US |
| dc.subject | AI | en_US |
| dc.subject | Cloud | en_US |
| dc.subject | Fog | en_US |
| dc.title | Optimizing resource and energy allocation in cloud computing using genetic algorithm and fog nodes | |
| dc.type | Master Thesis |
