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Author Carrasco, R.A.; Iyengar, G.; Stein, C.
Title Resource cost aware scheduling Type
Year 2018 Publication European Journal Of Operational Research Abbreviated Journal Eur. J. Oper. Res.
Volume 269 Issue 2 Pages 621-632
Keywords Scheduling; Approximation algorithms; Resource aware scheduling; Speed-scaling
Abstract We are interested in the scheduling problem where there are several different resources that determine the speed at which a job runs and we pay depending on the amount of each resource that we use. This work is an extension of the resource dependent job processing time problem and the energy aware scheduling problems. We develop a new constant factor approximation algorithm for resource cost aware scheduling problems: the objective is to minimize the sum of the total cost of resources and the total weighted completion time in the one machine non-preemptive setting, allowing for arbitrary precedence constraints and release dates. Our algorithm handles general job-dependent resource cost functions. We also analyze the practical performance of our algorithms, showing that it is significantly superior to the theoretical bounds and in fact it is very close to optimal. The analysis is done using simulations and real instances, which are left publicly available for future benchmarks. We also present additional heuristic improvements and we study their performance in other settings. (C) 2018 Elsevier B.V. All rights reserved.
Address [Carrasco, Rodrigo A.] Univ Adolfo Ibanez, Fac Sci & Engn, Santiago, Chile, Email: rax@uai.cl;
Corporate Author Thesis
Publisher Elsevier Science Bv Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0377-2217 ISBN Medium
Area Expedition Conference
Notes WOS:000432502600016 Approved
Call Number UAI @ eduardo.moreno @ Serial 871
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Author Carrasco, R.A.; Pruhs, K.; Stein, C.; Verschae, J.
Title The Online Set Aggregation Problem Type
Year 2018 Publication Lecture Notes in Computer Sciences Abbreviated Journal Lect. Notes Comput. Sc.
Volume 10807 Issue Pages 245-259
Keywords
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved
Call Number UAI @ eduardo.moreno @ Serial 1292
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