Fog and cloud load balancing using regression based recurrent deep learning algorithm
Yükleniyor...
Dosyalar
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Fog computing has been studied by a variety of academics, and they have identified concerns
which need to be solved. It is the primary goal of this project to build and execute an energy
conscious load balancer that will reduce energy usage and help in the distribution of loads.
Furthermore, with chips becoming more compact and containing increasingly dense circuitry,
the release of energy in the form of heat increases. This means even more energy consumption,
as computational components do not operate well at very high temperatures and therefore are
cooling systems. In this work we investigate the relative strengths and weaknesses of the
different fog and cloud models and structures.
Açıklama
Anahtar Kelimeler
Fog, Cloud, Machine Learning, Artificial Intelligence, Genetic Algorithm
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Jameel, Eftekhar Jumaah. (2022). Fog and cloud load balancing using regression based recurrent deep learning algorithm. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
