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Hybrid surrogate model for online temperature and...
Journal article

Hybrid surrogate model for online temperature and pressure predictions in data centers

Abstract

The increase in cloud computing and big data storage has led to significant growth in data center (DC) infrastructure that is now estimated to consume more than 1.5% of the world’s electricity. Due to suboptimal DC design and operation, a significant fraction of this energy is wasted because of the cooling systems inability to effectively distribute cold air to servers. Consequently, additional cooling air must be circulated inside a DC to …

Authors

Asgari S; Moazamigoodarzi H; Tsai PJ; Pal S; Zheng R; Badawy G; Puri IK

Journal

Future Generation Computer Systems, Vol. 114, , pp. 531–547

Publisher

Elsevier

Publication Date

January 2021

DOI

10.1016/j.future.2020.08.029

ISSN

0167-739X