Using fog computing to reduce time and energy in information networks

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dc.contributor.advisorIbrahim, Abdullahi Abdu
dc.contributor.authorAbbas, Ahmed Mohammed Redha
dc.date.accessioned2022-06-22T13:16:39Z
dc.date.available2022-06-22T13:16:39Z
dc.date.issued2020en_US
dc.date.submitted2020
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Bilişim Teknolojileri Ana Bilim Dalıen_US
dc.description.abstractIn these years, cloud-computing technology is considered one of the most important technologies that are directed to finding solutions to communication and processing problems, and also expanding the work of cloud computing networks from delaying processing time and limited resources. In our research, we explain the work of fog technology within a simulation system consisting of cloud, fog, and mobile networks. Moreover, we implemented (FGA) algorithm to get the best results from reducing the energy consumed and dividing the distribution of tasks implementation between the different networks, and to reduce the latency time.en_US
dc.identifier.citationAbbas, Ahmed Mohammed Redha. (2020). Using fog computing to reduce time and energy in information networks. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2510
dc.identifier.yoktezid672462
dc.institutionauthorAbbas, Ahmed Mohammed Redha
dc.language.isoen
dc.publisherAltınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsüen_US
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFog Computingen_US
dc.subjectCloud Computingen_US
dc.subjectSmartphoneen_US
dc.subjectFuzzy Genetic Algorithmen_US
dc.titleUsing fog computing to reduce time and energy in information networks
dc.typeMaster Thesis

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