@InProceedings{antoniadis_et_al:LIPIcs.SWAT.2022.9,
author = {Antoniadis, Antonios and Jabbarzade, Peyman and Shahkarami, Golnoosh},
title = {{A Novel Prediction Setup for Online Speed-Scaling}},
booktitle = {18th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2022)},
pages = {9:1--9:20},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-236-5},
ISSN = {1868-8969},
year = {2022},
volume = {227},
editor = {Czumaj, Artur and Xin, Qin},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2022.9},
URN = {urn:nbn:de:0030-drops-161693},
doi = {10.4230/LIPIcs.SWAT.2022.9},
annote = {Keywords: learning augmented algorithms, speed-scaling, energy-efficiency, scheduling theory, online algorithms}
}