The anarchy of scheduling without money

Giannakopoulos Y, Koutsoupias E, Kyropoulou M (2019)

Publication Type: Journal article

Publication year: 2019

Journal

Theoretical Computer Science Elsevier

Book Volume: 778

Pages Range: 19-32

DOI: 10.1016/j.tcs.2019.01.022

Open Access Link: http://arxiv.org/abs/1607.03688

Abstract

We consider the scheduling problem on n strategic unrelated machines when no payments are allowed, under the objective of minimizing the makespan. We adopt the model introduced in [Koutsoupias 2014] where a machine is bound by her declarations in the sense that if she is assigned a particular job then she will have to execute it for an amount of time at least equal to the one she reported, even if her private, true processing capabilities are actually faster. We provide a (non-truthful) randomized algorithm whose pure Price of Anarchy is arbitrarily close to 1 for the case of a single task and close to n if it is applied independently to schedule many tasks, which is asymptotically optimal for the natural class of anonymous, task-independent algorithms. Previous work considers the constraint of truthfulness and proves a tight approximation ratio of (n+1)/2 for one task which generalizes to n(n+1)/2 for many tasks. Furthermore, we revisit the truthfulness case and reduce the latter approximation ratio for many tasks down to n, asymptotically matching the best known lower bound. This is done via a detour to the relaxed, fractional version of the problem, for which we are also able to provide an optimal approximation ratio of 1. Finally, we mention that all our algorithms achieve optimal ratios of 1 for the social welfare objective.

Authors with CRIS profile

Ioannis Giannakopoulos

Involved external institutions

University of Oxford GB United Kingdom (GB) University of Essex GB United Kingdom (GB) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Giannakopoulos, Y., Koutsoupias, E., & Kyropoulou, M. (2019). The anarchy of scheduling without money. Theoretical Computer Science, 778, 19-32. https://dx.doi.org/10.1016/j.tcs.2019.01.022

MLA:

Giannakopoulos, Yiannis, Elias Koutsoupias, and Maria Kyropoulou. "The anarchy of scheduling without money." Theoretical Computer Science 778 (2019): 19-32.

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