Many modern microprocessors allow the speed/frequency to be set dynamically. The general goal is to execute a sequence of jobs on a variable-speed processor so as to minimize energy consumption. This paper surveys algorithmic results on dynamic speed scaling. We address settings where (1) jobs have strict deadlines and (2) job flow times are to be minimized.
@InProceedings{albers:LIPIcs.STACS.2011.1, author = {Albers, Susanne}, title = {{Algorithms for Dynamic Speed Scaling}}, booktitle = {28th International Symposium on Theoretical Aspects of Computer Science (STACS 2011)}, pages = {1--11}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-25-5}, ISSN = {1868-8969}, year = {2011}, volume = {9}, editor = {Schwentick, Thomas and D\"{u}rr, Christoph}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2011.1}, URN = {urn:nbn:de:0030-drops-29954}, doi = {10.4230/LIPIcs.STACS.2011.1}, annote = {Keywords: competitive analysis, energy-efficiency, flow time, job deadline, offline algorithm, online algorithm, response time, scheduling, variable-speed proce} }
Feedback for Dagstuhl Publishing