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Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads

  • Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

Recent advances in communication technology has begun to push the data centers towards high altitude platform stations (HAPS) due to their advantages in communication coverage, mobility and cooling. There are plenty of studies that focus on the communication aspects of such devices but the issues regarding deploying micro data centers on HAPS is rarely studied. In the future, there is a potential for a substantial amount of processing power to be offload to such stations to back up terrestrial stations in fog computing scenarios. In this study we have analyzed cloud workload handling and power consumption efficiencies of two different HAPS deployment scenarios. In our simulations, performed with CloudSim Plus, we have experimented with scenarios with varying number of lower and higher altitude HAPS and terrestrial base stations. In our experiments we have identified the trade-offs and cases to provide better performance in handling cloud workloads.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar386-391
Sayfa sayısı6
ISBN (Elektronik)9781665458412
DOI'lar
Yayın durumuYayınlandı - 2021
Etkinlik2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States
Süre: 15 Ara 202117 Ara 2021

Yayın serisi

AdıProceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

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???event.eventtypes.event.conference???2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Ülke/BölgeUnited States
ŞehirLas Vegas
Periyot15/12/2117/12/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Finansman

This work was partly supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK) under grant number 118E887 Contact author: Tolga Ovatman

FinansörlerFinansör numarası
Tolga Ovatman
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu118E887

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