English

Improved Approximations for Unrelated Machine Scheduling

Data Structures and Algorithms 2022-11-21 v1

Abstract

We revisit two well-studied scheduling problems in the unrelated machines setting where each job can have a different processing time on each machine. For minimizing total weighted completion time we give a 1.45-approximation, which improves upon the previous 1.488-approximation [Im and Shadloo SODA 2020]. The key technical ingredient in this improvement lies in a new rounding scheme that gives strong negative correlation with less restrictions. For minimizing LkL_k-norms of machine loads, inspired by [Kalaitzis et al. SODA 2017], we give better approximation algorithms. In particular we give a 4/3\sqrt {4/3}-approximation for the L2L_2-norm which improves upon the former 2\sqrt 2-approximations due to [Azar-Epstein STOC 2005] and [Kumar et al. JACM 2009].

Keywords

Cite

@article{arxiv.2211.10398,
  title  = {Improved Approximations for Unrelated Machine Scheduling},
  author = {Sungjin Im and Shi Li},
  journal= {arXiv preprint arXiv:2211.10398},
  year   = {2022}
}

Comments

To appear in SODA 2023

R2 v1 2026-06-28T06:14:11.426Z