Tighter Bounds on Non-clairvoyant Parallel Machine Scheduling with Prediction to Minimize Makespan
Data Structures and Algorithms
2025-04-16 v1
Abstract
This paper investigates the non-clairvoyant parallel machine scheduling problem with prediction, with the objective of minimizing the makespan. Improved lower bounds for the problem and competitive ratios of online algorithms with respect to the prediction error are presented for both the non-preemptive and preemptive cases on m identical machines.
Keywords
Cite
@article{arxiv.2504.10945,
title = {Tighter Bounds on Non-clairvoyant Parallel Machine Scheduling with Prediction to Minimize Makespan},
author = {Tianqi Chen and Zhiyi Tan},
journal= {arXiv preprint arXiv:2504.10945},
year = {2025}
}