{"project":[{"_id":"1","name":"SFB 901"},{"_id":"16","name":"SFB 901 - Subprojekt C4"},{"_id":"14","name":"SFB 901 - Subproject C2"},{"_id":"4","name":"SFB 901 - Project Area C"}],"date_updated":"2022-01-06T07:00:58Z","file":[{"content_type":"application/pdf","file_name":"435-Kling_C2_STACS2014.pdf","relation":"main_file","date_updated":"2018-03-16T11:30:23Z","file_id":"1354","access_level":"closed","file_size":525851,"creator":"florida","success":1,"date_created":"2018-03-16T11:30:23Z"}],"has_accepted_license":"1","date_created":"2017-10-17T12:42:16Z","language":[{"iso":"eng"}],"user_id":"477","citation":{"ama":"Antoniadis A, Barcelo N, Consuegra M, et al. Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules. In: <i>Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)</i>. LIPIcs. ; 2014:63--74. doi:<a href=\"https://doi.org/10.4230/LIPIcs.STACS.2014.63\">10.4230/LIPIcs.STACS.2014.63</a>","bibtex":"@inproceedings{Antoniadis_Barcelo_Consuegra_Kling_Nugent_Pruhs_Scquizzato_2014, series={LIPIcs}, title={Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules}, DOI={<a href=\"https://doi.org/10.4230/LIPIcs.STACS.2014.63\">10.4230/LIPIcs.STACS.2014.63</a>}, booktitle={Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)}, author={Antoniadis, Antonios and Barcelo, Neal and Consuegra, Mario and Kling, Peer and Nugent, Michael and Pruhs, Kirk and Scquizzato, Michele}, year={2014}, pages={63--74}, collection={LIPIcs} }","ieee":"A. Antoniadis <i>et al.</i>, “Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules,” in <i>Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)</i>, 2014, pp. 63--74.","chicago":"Antoniadis, Antonios, Neal Barcelo, Mario Consuegra, Peer Kling, Michael Nugent, Kirk Pruhs, and Michele Scquizzato. “Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules.” In <i>Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)</i>, 63--74. LIPIcs, 2014. <a href=\"https://doi.org/10.4230/LIPIcs.STACS.2014.63\">https://doi.org/10.4230/LIPIcs.STACS.2014.63</a>.","short":"A. Antoniadis, N. Barcelo, M. Consuegra, P. Kling, M. Nugent, K. Pruhs, M. Scquizzato, in: Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS), 2014, pp. 63--74.","apa":"Antoniadis, A., Barcelo, N., Consuegra, M., Kling, P., Nugent, M., Pruhs, K., &#38; Scquizzato, M. (2014). Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules. In <i>Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)</i> (pp. 63--74). <a href=\"https://doi.org/10.4230/LIPIcs.STACS.2014.63\">https://doi.org/10.4230/LIPIcs.STACS.2014.63</a>","mla":"Antoniadis, Antonios, et al. “Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules.” <i>Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)</i>, 2014, pp. 63--74, doi:<a href=\"https://doi.org/10.4230/LIPIcs.STACS.2014.63\">10.4230/LIPIcs.STACS.2014.63</a>."},"author":[{"full_name":"Antoniadis, Antonios","last_name":"Antoniadis","first_name":"Antonios"},{"first_name":"Neal","last_name":"Barcelo","full_name":"Barcelo, Neal"},{"first_name":"Mario","last_name":"Consuegra","full_name":"Consuegra, Mario"},{"first_name":"Peer","full_name":"Kling, Peer","last_name":"Kling"},{"full_name":"Nugent, Michael","last_name":"Nugent","first_name":"Michael"},{"first_name":"Kirk","full_name":"Pruhs, Kirk","last_name":"Pruhs"},{"first_name":"Michele","full_name":"Scquizzato, Michele","last_name":"Scquizzato"}],"department":[{"_id":"63"}],"publication":"Proceedings of the 31st Symposium on Theoretical Aspects of Computer Science (STACS)","page":"63--74","type":"conference","year":"2014","ddc":["040"],"_id":"435","doi":"10.4230/LIPIcs.STACS.2014.63","status":"public","title":"Efficient Computation of Optimal Energy and Fractional Weighted Flow Trade-off Schedules","series_title":"LIPIcs","abstract":[{"text":"We give a polynomial time algorithm to compute an optimal energy and fractional weighted flow trade-off schedule for a speed-scalable processor with discrete speeds.Our algorithm uses a geometric approach that is based on structural properties obtained from a primal-dual formulation of the problem.","lang":"eng"}],"file_date_updated":"2018-03-16T11:30:23Z"}