@inproceedings{444a1657a20747ab83ce380a5a6fdb0c,
title = "Green Intelligent Content Rendering Paradigm",
abstract = "Multi-media content rendering is an important computing intensive task required for multi-media content generation. The content rendering is executed aboard ground based data centres. The operation of terrestrial data centres is inefficient when a significant amount of power is expended on cooling alongside a high-water footprint (WF). This results in a high-power usage effectiveness (PUE). The high PUE, and WF can be reduced via the use of alternative freely cooled data centre such as the underwater data centre. The research proposes render workload migration strategy enabling an underwater data centre to execute the render workload. Furthermore, the underwater data centre hosts mini-nuclear reactors that enhance its power accessibility instead of only relying on highly variable renewable energy resources in the underwater environment. Performance evaluation shows that the use of the PUE, and accessible power is improved by proposed approach by an average of 26.5%, and 63.8%, respectively.",
keywords = "energy access, multimedia content, Non-terrestrial platforms, rendering",
author = "Periola, {A. A.} and Alonge, {A. A.} and Ogudo, {K. A.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 ; Conference date: 01-08-2024 Through 02-08-2024",
year = "2024",
doi = "10.1109/icABCD62167.2024.10645257",
language = "English",
series = "7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sameerchand Pudaruth and Upasana Singh",
booktitle = "7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 - Proceedings",
address = "United States",
}