Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads

Tolga Ovatman; Muhammed Enes Tirnakci; Ahmet Yilmaz

doi:10.1109/CSCI54926.2021.00135

Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads

Tolga Ovatman, Muhammed Enes Tirnakci, Ahmet Yilmaz

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	386-391
Number of pages	6
ISBN (Electronic)	9781665458412
DOIs	https://doi.org/10.1109/CSCI54926.2021.00135
Publication status	Published - 2021
Event	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States Duration: 15 Dec 2021 → 17 Dec 2021

Publication series

Name	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

Conference

Conference	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Country/Territory	United States
City	Las Vegas
Period	15/12/21 → 17/12/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Funding

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

Funders	Funder number
Tolga Ovatman
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu	118E887

Keywords

cloud workloads
data center power consumption
High altitude platform stations

Access to Document

10.1109/CSCI54926.2021.00135

Cite this

Ovatman, T., Tirnakci, M. E., & Yilmaz, A. (2021). Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 (pp. 386-391). (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI54926.2021.00135

Ovatman, Tolga ; Tirnakci, Muhammed Enes ; Yilmaz, Ahmet. / Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 386-391 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

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abstract = "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.",

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language = "English",

series = "Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021",

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Ovatman, T, Tirnakci, ME & Yilmaz, A 2021, Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads. in Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Institute of Electrical and Electronics Engineers Inc., pp. 386-391, 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Las Vegas, United States, 15/12/21. https://doi.org/10.1109/CSCI54926.2021.00135

Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads. / Ovatman, Tolga; Tirnakci, Muhammed Enes; Yilmaz, Ahmet.
Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 386-391 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ovatman, Tolga

AU - Tirnakci, Muhammed Enes

AU - Yilmaz, Ahmet

PY - 2021

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N2 - 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.

AB - 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.

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Ovatman T, Tirnakci ME, Yilmaz A. Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 386-391. (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). doi: 10.1109/CSCI54926.2021.00135

Utilizing HAPS Deployed Data Centers in Offloading Cloud Workloads

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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Cite this