Tighter Bounds on Non-clairvoyant Parallel Machine Scheduling with Prediction to Minimize Makespan

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Chen, Tianqi, Tan, Zhiyi
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916691293765632
author Chen, Tianqi
Tan, Zhiyi
author_facet Chen, Tianqi
Tan, Zhiyi
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2504_10945
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Tighter Bounds on Non-clairvoyant Parallel Machine Scheduling with Prediction to Minimize Makespan
Chen, Tianqi
Tan, Zhiyi
Data Structures and Algorithms
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.
title Tighter Bounds on Non-clairvoyant Parallel Machine Scheduling with Prediction to Minimize Makespan
topic Data Structures and Algorithms
url https://arxiv.org/abs/2504.10945