@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}
}