posted on 2016-04-18, 09:33authored byRob Van Stee, L. Epstein, A. Levin
We present a unified framework for designing deterministic monotone polynomial time approximation schemes (PTASs) for a wide class of scheduling problems on uniformly related machines. This class includes (among others) minimizing the makespan, maximizing the minimum load, and minimizing the p-norm of the machine loads vector. Previously, this kind of result was only known for the makespan objective. Monotone algorithms have the property that an increase in the speed of a machine cannot decrease the amount of work assigned to it. Our results imply the existence of a truthful mechanism that can be implemented in polynomial time, where the social goal is approximated within arbitrary precision.
History
Citation
Mathematics of Operations Research, 2016, 41 (1), pp. 332-351 (20)
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science
Version
AM (Accepted Manuscript)
Published in
Mathematics of Operations Research
Publisher
INFORMS (Institute for Operations Research and Management Sciences)
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