@inproceedings{d01c634088464fc3acc52807bef9714b,
title = "Intelligent scheduling for stratosphere cloud platforms",
abstract = "Data centres play an important role in developing machine learning algorithms and in wireless networks. The large scale use of data centres increases the operational costs for cloud computing service providers. The operational costs can be reduced by siting data centres in locations such as the stratosphere. The siting of data centres in stratosphere reduces cooling costs and enhances the power usage effectiveness (PUE). This paper examines the PUE improvement obtainable with data centres located in the stratosphere. Performance evaluation shows that the stratosphere{\textquoteright}s cooling capacity increases with the proportion of green house gases. The PUE is enhanced by at least 27% on average when 33.3% of data centres in a cloud platform are located in the stratosphere. The PUE is enhanced by up to 40.1% on average when 50% of data centres in a cloud platform are located in the stratosphere.",
keywords = "Big data, Cloud Computing, Communication Networks, PUE, Stratosphere Cloud Platforms",
author = "Periola, {A. A.} and Alonge, {A. A.} and Ogudo, {K. A.}",
note = "Publisher Copyright: {\textcopyright}2020 IEEE.; 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 ; Conference date: 06-08-2020 Through 07-08-2020",
year = "2020",
month = aug,
doi = "10.1109/icABCD49160.2020.9183856",
language = "English",
series = "2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sameerchand Pudaruth and Upasana Singh",
booktitle = "2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings",
address = "United States",
}