Online and semi-online scheduling on two hierarchical machines with a common due date to maximize the total early work

Autor: Xiao, Man, Liu, Xiaoqiao, Li, Weidong, Chen, Xin, Sterna, Malgorzata, Blazewicz, Jacek
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: In this study, we investigated several online and semi-online scheduling problems on two hierarchical machines with a common due date to maximize the total early work. For the pure online case, we designed an optimal online algorithm with a competitive ratio of $\sqrt 2$. For the case when the total processing time is known, we proposed an optimal semi-online algorithm with a competitive ratio of $\frac{4}{3}$. Additionally, for the cases when the largest processing time is known, we gave optimal algorithms with a competitive ratio of $\frac{6}{5}$ if the largest job is a lower hierarchy one, and of $\sqrt 5-1$ if the largest job is a higher hierarchy one, respectively.
Databáze: arXiv