English

A New Lower Bound for Deterministic Truthful Scheduling

Computer Science and Game Theory 2020-07-08 v2

Abstract

We study the problem of truthfully scheduling mm tasks to nn selfish unrelated machines, under the objective of makespan minimization, as was introduced in the seminal work of Nisan and Ronen [STOC'99]. Closing the current gap of [2.618,n][2.618,n] on the approximation ratio of deterministic truthful mechanisms is a notorious open problem in the field of algorithmic mechanism design. We provide the first such improvement in more than a decade, since the lower bounds of 2.4142.414 (for n=3n=3) and 2.6182.618 (for nn\to\infty) by Christodoulou et al. [SODA'07] and Koutsoupias and Vidali [MFCS'07], respectively. More specifically, we show that the currently best lower bound of 2.6182.618 can be achieved even for just n=4n=4 machines; for n=5n=5 we already get the first improvement, namely 2.7112.711; and allowing the number of machines to grow arbitrarily large we can get a lower bound of 2.7552.755.

Keywords

Cite

@article{arxiv.2005.10054,
  title  = {A New Lower Bound for Deterministic Truthful Scheduling},
  author = {Yiannis Giannakopoulos and Alexander Hammerl and Diogo Poças},
  journal= {arXiv preprint arXiv:2005.10054},
  year   = {2020}
}

Comments

15 pages

R2 v1 2026-06-23T15:41:14.192Z